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Effect of bradykinin and its antagonist on survival time after coronary artery occlusion in rats

Atif Abbas S, Sharma JN, Pauzi A, Yusof M

Gen. Pharmacol., 1999 Sep;33(3):243-7.
PMID: 10480657

The present study was conducted to examine the effect of bradykinin and bradykinin 2 receptor antagonist on survival time in rats with coronary artery ligation for 15 min and continuously. We also evaluated the heart rate and blood pressure responses in the presence and absence of bradykinin and its antagonist. Bradykinin treatment (4 microg and 8 microg/kg IV) significantly (p < 0.05) increased the survival time of rats compared with saline-treated rats with coronary artery ligation for 15 min and continuously. The heart rate and blood pressure responses were significantly (p < 0.001) altered in the presence of coronary artery ligation. Bradykinin antagonist treatment (4 microg/kg IV) abolished the effect of bradykinin and thus reduced the survival time of rats with coronary artery ligation. The mean value of survival time between saline-treated and bradykinin antagonist- plus bradykinin-treated rats did not differ significantly (p > 0.05).
The effect of bradykinin and its antagonist on survival time after coronary artery occlusion in hypertensive rats

Abbas SA, Sharma JN, Yusof AP

Immunopharmacology, 1999 Oct 15;44(1-2):93-8.
PMID: 10604530

It is known that BK does play a role in the cardioprotective effect of angiotensin converting enzyme (ACE) inhibitors. The present study therefore was conducted to examine the effects of bradykinin (BK) and its antagonist on survival time in spontaneously hypertensive rats (SHR) with coronary artery ligation for 15 min and continuously. We also evaluated the heart rate and blood pressure (BP) in the presence and absence of BK and BK2 receptor antagonist, D-Arg-[Hyp-D-Phe7]BK. Coronary artery was ligated in anaesthetized rats and they were artificially ventilated with room air (stroke volume, 4 ml; 48 strokes/min) as described by the previous investigators. Lead II elecrocardiogram (ECG) was recorded from subcutaneous steel needle electrodes. Results of this investigation indicated that BK treatment 4 microg/kg (i.v.) and 8 microg/kg (i.v.) caused significant (P < 0.05) increase in survival time in SHR with coronary artery ligation for 15 min and continuously as compare to their respective saline-treated controls. However, BK antagonist treatment 4 microg/kg (i.v.) abolished the increase in survival time caused by BK treatment. The mean values of survival time between the saline-treated and BK antagonist plus BK-treated rats did not differ significantly (P > 0.05). The heart rate and BP responses were greatly reduced (P < 0.001) in the presence of coronary artery ligation. These findings suggest that BK might have cardioprotective effect to increase the survival time in rats by activating BK2 receptors after coronary artery ligation.
Differential dose absorptions for various biological tissue equivalent materials using Gafchromic XR-QA2 film in diagnostic radiology

Alsadig AA, Abbas S, Kandaiya S, Ashikin NARNN, Qaeed MA

Appl Radiat Isot, 2017 Nov;129:130-134.
PMID: 28843699 DOI: 10.1016/j.apradiso.2017.08.021

Phantoms are devices that simulate human tissues including soft tissues, lungs, and bones in medical and health physics. The purpose of this work was to investigate the differential dose absorption in several commercially available low-cost materials as substitutes to human tissues using Gafchromic XR-QA2 film. The measurement of absorbed dose by different materials of various densities was made using the film to establish the relationship between the absorbed dose and the material density. Materials investigated included soft board materials, Perspex, chicken bone, Jeltrate, chalk, cow bone, marble, and aluminum, which have varying densities from 0.26 to 2.67gcm-3. The absorbed dose increased as the density and atomic number of the material increased. The absorbed dose to the density can be well represented by a polynomial function for the materials used.
The roles of energy, natural resources, agriculture and regional integration on CO2 emissions in selected countries of ASEAN: does political constraint matter?

Shah MI, AbdulKareem HKK, Ishola BD, Abbas S

Environ Sci Pollut Res Int, 2023 Feb;30(10):26063-26077.
PMID: 36350445 DOI: 10.1007/s11356-022-23871-3

This paper empirically examines the effects of energy, natural resources, agriculture, political constraint and regional integration on CO2 emissions in four ASEAN (Association of Southeast Asian Nations) countries of Cambodia, Malaysia, Indonesia and Thailand. We distinguish between renewable and fossil fuel energy consumption to see their individual impacts on CO2 emissions. The study employed a panel data from 1990 to 2019 derived from sources such as World Development Indicators, which were then analysed using Common-Correlated Effect Mean Group (CCEMG) and Augmented Mean Group (AMG) estimates. The findings show that renewable energy consumption has a negative impact on CO2 emissions while fossil fuel energy degrades the environment. The role of natural resources was found to be favourable for environmental quality with the impact of agriculture being found to be detrimental. For regional trade integration, its influence was not significant enough to offset CO2 emission. Furthermore, we discovered that political constraint induces CO2 emission. Based on the result, it is recommended that the selected ASEAN countries promote the use of renewable energy and clean technologies in their manufacturing processes, conserve natural resources, adopt eco-friendly political policies and intensify regional integration to accelerate the achievement of the SDGs.
Fulltext The Influence of the Barriers of Hybrid Strategy on Strategic Competitive Priorities: Evidence from Oil Companies

Alnoor A, Khaw KW, Chew X, Abbas S, Khattak ZZ

Glob J Flex Syst Manag, 2023;24(2):179-198.
PMID: 37101931 DOI: 10.1007/s40171-022-00335-8

This study examines the impact of the barrier of adopting hybrid strategy on strategic performance using the oil sector in Iraq as a case. International oil companies consider various strategies in order to achieve superior performance. The procedure needs to overcome certain essential barriers for the adoption of the hybrid strategy that combines the cost leadership and differentiation strategy. The questionnaire was distributed online due to the COVID-19 pandemic that led to the closure of companies in the country. Out of the 537 questionnaires answered, 483 were used for further analysis which yielded usable response rate of 90%. The structural equation modeling results confirmed that the high costs of technologies, the priority of other external matters, inadequate industry regulation, insufficient supply, organizational capabilities, strategic capabilities, and financial capabilities are significantly related to strategic performance. The researchers recommend conducting an in-depth study of the phenomenon based on theoretical and empirical foundations, especially considering the relationship between the barriers of a hybrid strategy and strategic performance based on linear and non-compensatory relationships. This research sheds light on the barriers to adopting the hybrid strategy required by the oil sector as it relies on continuous production.
The economic burden of chronic obstructive pulmonary disease (COPD) in Europe: results from a systematic review of the literature

Rehman AU, Hassali MAA, Muhammad SA, Harun SN, Shah S, Abbas S

Eur J Health Econ, 2020 Mar;21(2):181-194.
PMID: 31564007 DOI: 10.1007/s10198-019-01119-1

OBJECTIVES: To find the economic burden of COPD and to identify the key cost drivers in the management of COPD patients across different European countries.
BACKGROUND: COPD is a major cause of mortality and morbidity and is associated with considerable economic burden on the individual and society. It limits the daily activities and working ability of the patients.
METHODOLOGY: We conducted a systematic search of PUBMED, SCIENCE DIRECT, Cochrane CENTRAL, SCOPUS, Google Scholar and SAGE Premier Databases to find scientific research articles evaluating the cost of COPD management from patient and societal perspective.
RESULTS: Estimated per patient per year direct cost in Norway, Denmark, Germany, Italy, Sweden, Greece, Belgium, and Serbia was €10,701, €9580, €7847, €7448, €7045, €2896, €1963, and €2047, respectively. Annual per patient cost of work productivity loss was highest in Germany as €5735 and lowest in Greece as €998. It was estimated as €4824, €2033 and €1298 in Bulgaria, Denmark and Sweden, respectively. Several factors found associated with increasing cost of COPD management that include but not limited to late diagnosis, severity of disease, frequency of exacerbation, hospital readmissions, non-adherence to the therapy and exposure to COPD risk factors.
CONCLUSION: Minimizing the COPD exacerbations and controlling the worsening of symptoms may potentially reduce the cost of COPD management at any stage.
The economic burden of chronic obstructive pulmonary disease (COPD) in the USA, Europe, and Asia: results from a systematic review of the literature

Anees Ur Rehman, Ahmad Hassali MA, Muhammad SA, Shah S, Abbas S, Hyder Ali IAB, et al.

Expert Rev Pharmacoecon Outcomes Res, 2020 Dec;20(6):661-672.
PMID: 31596632 DOI: 10.1080/14737167.2020.1678385

Background: Lack of information about economic burden of COPD is a major cause of lack of attention to this chronic condition from governments and policymakers. Objective: To find the economic burden of COPD in Asia, USA and Europe, and to identify the key cost driving factors in management of COPD patients. Methodology: Relevant studies assessing the cost of COPD from patient perspective or societal perspective were retrieved by thoroughly searching PUBMED, SCIENCE DIRECT, GOOGLE SCHOLAR, SCOPUS, and SAGE Premier Databases. Results: In the USA annual per patient direct medical cost and hospitalization cost were reported as $10,367 and $6852, respectively. In Asia annual per patient direct medical cost in Iran, Korea and Singapore was reported as $1544, $3077, and $2335, respectively. However, annual per patient hospitalization cost in Iran, Korea, Singapore, India, China, and Turkey was reported as $865, $1371, $1868, $296, $1477 and $1031, respectively. In Europe annual per patient direct medical cost was reported as $11,787, $10,552, $8644, $8203, $7760, $3190, $1889, $2162, and $2254 in Norway, Denmark, Germany, Italy, Sweden, Greece, Spain, Belgium, and Serbia, respectively. Conclusion: Limiting the disease to early stage and preventing exacerbations may reduce the cost of management of COPD.
Fulltext Investigating Optimal Confinement Behaviour of Low-Strength Concrete through Quantitative and Analytical Approaches

Ali M, Abbas S, Salah B, Akhter J, Saleem W, Haruna S, et al.

Materials (Basel), 2021 Aug 19;14(16).
PMID: 34443196 DOI: 10.3390/ma14164675

Reinforced concrete is used worldwide in the construction industry. In past eras, extensive research has been conducted and has clearly shown the performance of stress-strain behaviour and ductility design for high-, standard-, and normal-strength concrete (NSC) in axial compression. Limited research has been conducted on the experimental and analytical investigation of low-strength concrete (LSC) confinement behaviour under axial compression and relative ductility. Meanwhile, analytical equations are not investigated experimentally for the confinement behaviour of LSC by transverse reinforcement. The current study experimentally investigates the concrete confinement behaviour under axial compression and relative ductility of NSC and LSC using volumetric transverse reinforcement (VTR), and comparison with several analytical models such as Mander, Kent, and Park, and Saatcioglu. In this study, a total of 44 reinforced-column specimens at a length of 18 in with a cross-section of 7 in × 7 in were used for uniaxial monotonic loading of NSC and LSC. Three columns of each set were confined with 2 in, 4 in, 6 in, and 8 in c/c lateral ties spacing. The experimental results show that the central concrete stresses are significantly affected by decreasing the spacing between the transverse steel. In the case of the LSC, the core stresses are double the central stress of NSC. However, increasing the VTR, the capacity and the ductility of NSC and LSC increases. Reducing the spacing between the ties from 8 in to 2 in center to center can affect the concrete column's strength by 60% in LSC, but 25% in the NSC. The VTR and the spacing between the ties greatly affected the LSC compared to NSC. It was found that the relative ductility of the confined column samples was almost twice that of the unrestrained column samples. Regarding different models, the Manders model best represents the performance before the ultimate strength, whereas Kent and Park represents post-peak behaviour.
Fulltext Validation and clinical interpretation of the St George's respiratory questionnaire for COPD (SGRQ-C) after adaptation to Malaysian language and culture, in patients with COPD

Rehman AU, Hassali MAA, Harun SN, Abbas S, Muneswarao J, Ali IABH, et al.

Health Qual Life Outcomes, 2020 May 13;18(1):138.
PMID: 32404113 DOI: 10.1186/s12955-020-01393-1

BACKGROUND: Cultural differences affect the administration and results of health status questionnaires. "Cross cultural adaptation" ensures retention of psychometric properties such as validity and reliability at an item and/or scale level.
OBJECTIVE: To develop a Malaysian version of St George's respiratory COPD specific questionnaire (SGRQ-CM), to evaluate the full spectrum of psychometric properties (reliability, validity and responsiveness), to test the factor structure and to assess minimum clinically important difference for the SGRQ-CM, to be used in population of Malaysia.
METHODOLOGY: SGRQ-C was translated to Bahasa Malaysia using a standard protocol. 240 COPD patients were included in the study. All patients were followed-up for six months. Construct validity, internal consistency, item convergent validity, test-retest ability, responsiveness, factor analysis and MCID of the Malaysian version of SGRQ-C to be used in population of Malaysia were evaluated.
RESULTS: The Cronbach alpha coefficient and intraclass correlation coefficients (ICC) for SGRQ-CM were reported as 0.87, and 0.88 respectively. Correlation of SGRQ-CM with CAT, EQ-5D-5 L, mMRC dyspnea scales and FEV1%predicted were reported as 0.86, - 0.82, 0.72 and - 0.42 respectively. Correlation coefficient between the subscales and other clinical and health status measures ranged from r = - 0.35 to r = - 0.87. The MCID was reported as 5.07 (- 2.54-12.67).
CONCLUSION: The Malaysian version of SGRQ-C has a good psychometric property comparable to those of the original version and has a strong evidence of validity, reliability and responsiveness towards disease severity in Malaysian COPD patients. It can be recommended as a reliable quality of life measure for future research.
Low cost, robust, environmentally friendly, wood supported 3D-hierarchical Cu3SnS4 for efficient solar powered steam generation

Ali N, Abbas S, Cao Y, Fazal H, Zhu J, Lai CW, et al.

J Colloid Interface Sci, 2022 Feb 07;615:707-715.
PMID: 35168019 DOI: 10.1016/j.jcis.2022.02.012

Solar steam generation has great potential in alleviating freshwater crises, particularly in regions with accessible seawater and abundant insolation. Inexpensive, efficient, and eco-friendly photothermal materials are desired to fabricate sunlight-driven evaporation devices. Here, we have designed an economical strategy to fabricate a high-performance wood-based solar steam generation device. In current study, 3D-hierarchical Cu3SnS4 has been loaded on wood substrates of variable sizes via an in-situ solvothermal method. Considering the water transportation capacity and thermal insulation property of wood, an enhanced light absorption was achieved by a uniform coating of Cu3SnS4 on the inside and outside of the 3D porous structure of the wood. Thanks for the synergistic effect of Cu3SnS4 and wood substrate, the obtained composite endorsed high-performance solar steam generation with a steam generation efficiency of 90% and an evaporation rate as high as 1.35 kg m-2h-1 under one sun.
Fulltext An Intelligent Proposed Model for Task Offloading in Fog-Cloud Collaboration Using Logistics Regression

Bukhari MM, Ghazal TM, Abbas S, Khan MA, Farooq U, Wahbah H, et al.

Comput Intell Neurosci, 2022;2022:3606068.
PMID: 35126487 DOI: 10.1155/2022/3606068

Smart applications and intelligent systems are being developed that are self-reliant, adaptive, and knowledge-based in nature. Emergency and disaster management, aerospace, healthcare, IoT, and mobile applications, among them, revolutionize the world of computing. Applications with a large number of growing devices have transformed the current design of centralized cloud impractical. Despite the use of 5G technology, delay-sensitive applications and cloud cannot go parallel due to exceeding threshold values of certain parameters like latency, bandwidth, response time, etc. Middleware proves to be a better solution to cope up with these issues while satisfying the high requirements task offloading standards. Fog computing is recommended middleware in this research article in view of the fact that it provides the services to the edge of the network; delay-sensitive applications can be entertained effectively. On the contrary, fog nodes contain a limited set of resources that may not process all tasks, especially of computation-intensive applications. Additionally, fog is not the replacement of the cloud, rather supplement to the cloud, both behave like counterparts and offer their services correspondingly to compliance the task needs but fog computing has relatively closer proximity to the devices comparatively cloud. The problem arises when a decision needs to take what is to be offloaded: data, computation, or application, and more specifically where to offload: either fog or cloud and how much to offload. Fog-cloud collaboration is stochastic in terms of task-related attributes like task size, duration, arrival rate, and required resources. Dynamic task offloading becomes crucial in order to utilize the resources at fog and cloud to improve QoS. Since this formation of task offloading policy is a bit complex in nature, this problem is addressed in the research article and proposes an intelligent task offloading model. Simulation results demonstrate the authenticity of the proposed logistic regression model acquiring 86% accuracy compared to other algorithms and confidence in the predictive task offloading policy by making sure process consistency and reliability.
Fulltext Encountering Covid-19 and perceived stress and the role of a health climate among medical workers

Abbas S, Al-Abrrow H, Abdullah HO, Alnoor A, Khattak ZZ, Khaw KW

Curr Psychol, 2022;41(12):9109-9122.
PMID: 33519147 DOI: 10.1007/s12144-021-01381-8

Due to the outbreak of Covid-19 epidemic, work stress among health sector employees has risen too high. The study aims at determining the effect of the current coronavirus epidemic in the form of stress perceived among the medical workers in Pakistan and to discover the moderating role played by a healthy climate in offsetting it. The data was collected from 255 medical workers through a self-administered online questionnaire. Multiple Hierarchical Regression was used as a tool to test the hypotheses of the study. The results obtained indicate a correlation between the pandemic and the stress caused by it among the health workers, whereas, the role of a wholesome climate in the reduction of stress among them was found lacking. Sub-hypotheses indicate that the healthy environment provided by supervisors is effective in reducing the impact of workers' handling of the Covid-19 epidemic and perceived stress, while the healthy environment provided by hospitals in general or by workgroups fails to cause such positive change. This revelation necessitates the adoption of compulsory precautionary measures on the part of relevant authorities, because increase in stress caused by the pandemic can prove more lethal than the pandemic itself. The threat of the coronavirus pandemic has emerged as a massive socio-economic challenge for the global community, especially for the developing countries like Pakistan which faces serious socio-economic challenges in the current scenario. On account of the similarity of situations, the results obtained through this study can be safely generalized to other developing countries, particularly from the South Asian region.
Fulltext Sanitation, water, energy use, and traffic volume affect environmental quality: Go-for-green developmental policies

Khalil L, Abbas S, Hussain K, Zaman K, Iswan, Salamun H, et al.

PLoS One, 2022;17(8):e0271017.
PMID: 36026488 DOI: 10.1371/journal.pone.0271017

Carbon emissions are primarily the result of human activity in urban areas. Inadequate sanitary facilities, contaminated drinking water, nonrenewable energy, and high traffic congestion have all impacted the natural ecosystem. Using data from 1975 to 2019, the study assessed the impact of the aforementioned variables on Pakistan's carbon emissions in light of this crucial fact. The ARDL cointegration method was used to estimate the short- and long-run parameter estimates. Urban sanitation challenges and energy consumption increase carbon emissions, which affects the natural environment by raising a country's carbon intensity. Economic expansion confirmed the inverted U-shaped relationship between carbon emissions and economic growth to verify the Environmental Kuznets Curve (EKC) hypothesis in the long run. In contrast, the monotonically rising function of carbon emissions provides evidence of the nation's economic development in the short run. Access to clean drinking water improves population health and encourages the purchase of eco-friendly products. The government must improve sanitation services and use renewable energy sources to enhance air quality.
Fulltext A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique

Rehman A, Abbas S, Khan MA, Ghazal TM, Adnan KM, Mosavi A

Comput Biol Med, 2022 Nov;150:106019.
PMID: 36162198 DOI: 10.1016/j.compbiomed.2022.106019

In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge scale and deployment of IoMT networks. Machine learning (ML) and blockchain (BC) technologies have significantly enhanced the capabilities and facilities of healthcare 5.0, spawning a new area known as "Smart Healthcare." By identifying concerns early, a smart healthcare system can help avoid long-term damage. This will enhance the quality of life for patients while reducing their stress and healthcare costs. The IoMT enables a range of functionalities in the field of information technology, one of which is smart and interactive health care. However, combining medical data into a single storage location to train a powerful machine learning model raises concerns about privacy, ownership, and compliance with greater concentration. Federated learning (FL) overcomes the preceding difficulties by utilizing a centralized aggregate server to disseminate a global learning model. Simultaneously, the local participant keeps control of patient information, assuring data confidentiality and security. This article conducts a comprehensive analysis of the findings on blockchain technology entangled with federated learning in healthcare. 5.0. The purpose of this study is to construct a secure health monitoring system in healthcare 5.0 by utilizing a blockchain technology and Intrusion Detection System (IDS) to detect any malicious activity in a healthcare network and enables physicians to monitor patients through medical sensors and take necessary measures periodically by predicting diseases. The proposed system demonstrates that the approach is optimized effectively for healthcare monitoring. In contrast, the proposed healthcare 5.0 system entangled with FL Approach achieves 93.22% accuracy for disease prediction, and the proposed RTS-DELM-based secure healthcare 5.0 system achieves 96.18% accuracy for the estimation of intrusion detection.
Intelligent skin disease prediction system using transfer learning and explainable artificial intelligence

Abbas S, Ahmed F, Khan WA, Ahmad M, Khan MA, Ghazal TM

Sci Rep, 2025 Jan 11;15(1):1746.
PMID: 39799199 DOI: 10.1038/s41598-024-83966-4

Skin diseases impact millions of people around the world and pose a severe risk to public health. These diseases have a wide range of effects on the skin's structure, functionality, and appearance. Identifying and predicting skin diseases are laborious processes that require a complete physical examination, a review of the patient's medical history, and proper laboratory diagnostic testing. Additionally, it necessitates a significant number of histological and clinical characteristics for examination and subsequent treatment. As a disease's complexity and quantity of features grow, identifying and predicting it becomes more challenging. This research proposes a deep learning (DL) model utilizing transfer learning (TL) to quickly identify skin diseases like chickenpox, measles, and monkeypox. A pre-trained VGG16 is used for transfer learning. The VGG16 can identify and predict diseases more quickly by learning symptom patterns. Images of the skin from the four classes of chickenpox, measles, monkeypox, and normal are included in the dataset. The dataset is separated into training and testing. The experimental results performed on the dataset demonstrate that the VGG16 model can identify and predict skin diseases with 93.29% testing accuracy. However, the VGG16 model does not explain why and how the system operates because deep learning models are black boxes. Deep learning models' opacity stands in the way of their widespread application in the healthcare sector. In order to make this a valuable system for the health sector, this article employs layer-wise relevance propagation (LRP) to determine the relevance scores of each input. The identified symptoms provide valuable insights that could support timely diagnosis and treatment decisions for skin diseases.
Fulltext Risk Factors Associated With Medication Errors Among Patients Suffering From Chronic Disorders

Rasool MF, Rehman AU, Imran I, Abbas S, Shah S, Abbas G, et al.

Front Public Health, 2020;8:531038.
PMID: 33330300 DOI: 10.3389/fpubh.2020.531038

Introduction: Medication error is unintentional and can be reduced by reducing the risk factors. Patients suffering from chronic diseases are at an increased risk of medication errors. Objective: This work aims to assess the risk factors associated with medication errors among patients suffering from chronic disorders in hospitals of South Punjab, Pakistan. Methodology: Multiple logistic regression analysis was used to assess the impact of different risk factors on the prevalence of medication errors in patients suffering from chronic diseases. Results: A greater risk for the occurrence of medication errors was associated with age ≥60 years (odds ratio, OR = 1.9; 95% CI = 1.3-3.1; p = 0.001), overburdened healthcare system (OR = 2.2; 95% CI = 1.64-3.56; p < 0.000), number of prescribed drugs ≥5 (OR = 1.74; 95% CI = 1.02-2.64; p < 0.000), comorbidities (OR = 2.6; 95% CI = 1.72-3.6; p = 0.003), Charlson comorbidity index (OR = 1.31; 95% CI = 0.49-1.84; p = 0.004), and multiple prescribers to one patient (OR = 1.12; 95% CI = 0.64-1.76; p = 0.001). Conclusion: Older age, overburdened healthcare system, number of prescribed drugs, comorbidities, Charlson comorbidity index, and multiple prescribers to one patient are significant risk factors for the occurrence of medication errors.
Edge AI-Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning

Bibi R, Saeed Y, Zeb A, Ghazal TM, Rahman T, Said RA, et al.

Comput Intell Neurosci, 2021;2021:6262194.
PMID: 34630550 DOI: 10.1155/2021/6262194

Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate changes, low quality of construction material, large flow of traffic, and heavy vehicles, road surface anomalies are increasing rapidly. Detection and repairing of these defects are necessary for the safety of drivers, passengers, and vehicles from mechanical faults. In this modern era, autonomous vehicles are an active research area that controls itself with the help of in-vehicle sensors without human commands, especially after the emergence of deep learning (DNN) techniques. A combination of sensors and DNN techniques can be useful for unmanned vehicles for the perception of their surroundings for the detection of tracks and obstacles for smooth traveling based on the deployment of artificial intelligence in vehicles. One of the biggest challenges for autonomous vehicles is to avoid the critical road defects that may lead to dangerous situations. To solve the accident issues and share emergency information, the Intelligent Transportation System (ITS) introduced the concept of vehicular network termed as vehicular ad hoc network (VANET) for achieving security and safety in a traffic flow. A novel mechanism is proposed for the automatic detection of road anomalies by autonomous vehicles and providing road information to upcoming vehicles based on Edge AI and VANET. Road images captured via camera and deployment of the trained model for road anomaly detection in a vehicle could help to reduce the accident rate and risk of hazards on poor road conditions. The techniques Residual Convolutional Neural Network (ResNet-18) and Visual Geometry Group (VGG-11) are applied for the automatic detection and classification of the road with anomalies such as a pothole, bump, crack, and plain roads without anomalies using the dataset from different online sources. The results show that the applied models performed well than other techniques used for road anomalies identification.
Fulltext An IoMT-Enabled Smart Healthcare Model to Monitor Elderly People Using Machine Learning Technique

Khan MF, Ghazal TM, Said RA, Fatima A, Abbas S, Khan MA, et al.

Comput Intell Neurosci, 2021;2021:2487759.
PMID: 34868288 DOI: 10.1155/2021/2487759

The Internet of Medical Things (IoMT) enables digital devices to gather, infer, and broadcast health data via the cloud platform. The phenomenal growth of the IoMT is fueled by many factors, including the widespread and growing availability of wearables and the ever-decreasing cost of sensor-based technology. The cost of related healthcare will rise as the global population of elderly people grows in parallel with an overall life expectancy that demands affordable healthcare services, solutions, and developments. IoMT may bring revolution in the medical sciences in terms of the quality of healthcare of elderly people while entangled with machine learning (ML) algorithms. The effectiveness of the smart healthcare (SHC) model to monitor elderly people was observed by performing tests on IoMT datasets. For evaluation, the precision, recall, fscore, accuracy, and ROC values are computed. The authors also compare the results of the SHC model with different conventional popular ML techniques, e.g., support vector machine (SVM), K-nearest neighbor (KNN), and decision tree (DT), to analyze the effectiveness of the result.
Role of topical spironolactone in the treatment of acne: A systematic review of clinical trials-Does this therapy open a path towards favorable outcomes?

Rehan ST, Khan Z, Abbas S, Imran L, Munir S, Tahir MJ, et al.

J Dermatol, 2023 Feb;50(2):166-174.
PMID: 36412248 DOI: 10.1111/1346-8138.16637

Acne vulgaris is the eighth most common disease worldwide and presents with inflammatory and noninflammatory skin lesions along with other dermal abnormalities. Oral spironolactone is used for treating acne vulgaris due to its antiandrogenic properties and inhibition of sebogenesis. Recent evidence shows that spironolactone in topical form has similar efficacy to its oral form with comparatively fewer adverse events associated with its use. However, to establish an evidence-based understanding, this systematic review aims to investigate the efficacy and safety of topical spironolactone in the treatment of acne vulgaris. PubMed, ClinicalTrials.gov, Cochrane library, and Google Scholar were comprehensively searched from the date of inception till March 18, 2022 All the clinical trials experimenting with the role of topical spironolactone in the treatment of acne were included. Articles examining the effects of oral spironolactone or other topical agents were excluded. The Cochrane risk of bias assessment tool (RoB 2.0, version 2019) was used to assess the risk of bias in each study. The study findings have been reported in line with PRISMA 2020 guidelines. The literature search yielded 600 articles. Five clinical trials with 195 patients were included in this review. Out of the five trials, two showed a high risk of bias while three had overall some concerns. Patients treated with topical spironolactone showed a significant decrease in the number of papules (p = 0.004), closed comedones (p 0.05). Topical spironolactone yields better results than other first-line treatments for acne and displays fewer side effects. However, further large-scale clinical trials are required before spironolactone can be used as the preferred treatment in the clinical management of acne.
Fulltext College of Radiology, Academy of Medicine of Malaysia position on whole body screening CT scans in healthy asymptomatic individuals (2008)

Ho E, Abdullah B, Tang A, Nordin A, Nair A, Lim G, et al.

Biomed Imaging Interv J, 2008 Oct;4(4):e44.
PMID: 21611021 DOI: 10.2349/biij.4.4.e44

To date, the College of Radiology (CoR) does not see any clear benefit in performing whole body screening computed tomography (CT) examinations in healthy asymptomatic individuals. There are radiation risk issues in CT and principles of screening should be adhered to. There may be a role for targeted cardiac screening CT that derives calcium score, especially for asymptomatic medium-risk individuals and CT colonography when used as part of a strategic programme for colorectal cancer screening in those 50 years and older. However, population based screening CT examinations may become appropriate when evidence emerges regarding a clear benefit for the patient outweighing the associated radiation risks.

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