Displaying publications 1 - 20 of 72 in total

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  1. A lignan with glucose uptake activity in 3T3-L1 adipocytes from the stem bark of Knema patentinervia
    Taher M, Amiroudine MZAM, Jaffri JM, Amri MS, Susanti D, Abd Hamid S, et al.
    Pak J Pharm Sci, 2017 Jul;30(4):1335-1339.
    PMID: 29039334
    A new naturally occurring dibenzylbutyrolactone lignan named isocubebinic ether has been isolated from Knema patentinervia. The structure was established by spectroscopic methods, which include Ultraviolet, Infrared, Nuclear Magnetic Resonance and Mass Spectrometry. The compound showed activity in the stimulation of glucose uptake by 3T3-L1 adipocytes.
  2. A new xanthone dimer and cytotoxicity from the stem bark of Calophyllum canum
    Taher M, Salleh WMNHW, Alkhamaiseh SI, Ahmad F, Rezali MF, Susanti D, et al.
    Z Naturforsch C J Biosci, 2021 Jan 27;76(1-2):87-91.
    PMID: 32931451 DOI: 10.1515/znc-2020-0089
    A phytochemical investigation of the stem bark of Calophyllum canum resulted in the isolation of a new xanthone dimer identified as biscaloxanthone (1), together with four compounds; trapezifoliaxanthone (2), trapezifolixanthone A (3), taraxerone (4) and taraxerol (5). The structures of these compounds were determined via spectroscopic methods of IR, UV, MS and NMR (1D and 2D). The cytotoxicity of compounds 1-3 were screened against A549, MCF-7, C33A and 3T3L1 cell lines, wherein weak cytotoxic activities were observed (IC50 > 50 μm).
  3. A polyisoprenylated ketone from Calophyllum enervosum
    Taher M, Idris MS, Ahmad F, Arbain D
    Phytochemistry, 2005 Mar;66(6):723-6.
    PMID: 15771897
    A polyisoprenylated ketone named enervosanone has been isolated from the stem bark of Calophyllum enervosum together with three known compounds, cambogin, osajaxanthone and epicatechin. Their structures were determined by spectroscopic analysis. The antimicrobial evaluations of the isolated compounds were also reported.
  4. 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.
  5. 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.
  6. 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.
  7. Fulltext Antimalarial activity of Malaysian Plectranthus amboinicus against Plasmodium berghei
    Ramli N, Ahamed PO, Elhady HM, Taher M
    Pharmacognosy Res, 2014 Oct;6(4):280-4.
    PMID: 25276063 DOI: 10.4103/0974-8490.138248
    Malaria is a mosquito-borne disease caused by parasitic protozoa from the genus of Plasmodium. The protozoans have developed resistance against many of current drugs. It is urgent to find an alternative source of new antimalarial agent. In the effort to discover new antimalarial agents, this research has been conducted on Plectranthus amboinicus.
  8. Fulltext Antimicrobial activity and essential oils of Curcuma aeruginosa, Curcuma mangga, and Zingiber cassumunar from Malaysia
    Kamazeri TS, Samah OA, Taher M, Susanti D, Qaralleh H
    Asian Pac J Trop Med, 2012 Mar;5(3):202-9.
    PMID: 22305785 DOI: 10.1016/S1995-7645(12)60025-X
    OBJECTIVE: To analyze the chemical composition of the essential oils of Curcuma aeruginosa (C. aeruginosa), Curcuma mangga (C. mangga), and Zingiber cassumunar (Z. cassumunar), and study their antimicrobial activity.

    METHODS: Essential oils obtained by steam distillation were analyzed by gas chromatography-mass spectrometry (GC-MS). The antimicrobial activity of the essential oils was evaluated against four bacteria: Bacillus cereus (B. cereus), Staphylococcus aureus (S. aureus), Escherichia coli (E. coli), and Pseudomonas aeruginosa (P. aeruginosa); and two fungi: Candida albicans (C. albicans) and Cyptococcus neoformans (C. neoformans), using disc-diffusion and broth microdilution methods.

    RESULTS: Cycloisolongifolene, 8,9-dehydro formyl (35.29%) and dihydrocostunolide (22.51%) were the major compounds in C. aeruginosa oil; whereas caryophyllene oxide (18.71%) and caryophyllene (12.69%) were the major compounds in C. mangga oil; and 2,6,9,9-tetramethyl-2,6,10-cycloundecatrien-1-one (60.77%) and α-caryophyllene (23.92%) were abundant in Z. cassumunar oil. The essential oils displayed varying degrees of antimicrobial activity against all tested microorganisms. C. mangga oil had the highest and most broad-spectrum activity by inhibiting all microorganisms tested, with C. neoformans being the most sensitive microorganism by having the lowest minimum inhibitory concentration (MIC) and minimum fungicidal concentration (MFC) values of 0.1 μL/mL. C. aeruginosa oil showed mild antimicrobial activity, whereas Z. cassumunar had very low or weak activity against the tested microorganisms.

    CONCLUSIONS: The preliminary results suggest promising antimicrobial properties of C. mangga and C. aeruginosa, which may be useful for food preservation, pharmaceutical treatment and natural therapies.

  9. Fulltext Antimicrobial activity of mangrove plant (Lumnitzera littorea)
    Saad S, Taher M, Susanti D, Qaralleh H, Rahim NA
    Asian Pac J Trop Med, 2011 Jul;4(7):523-5.
    PMID: 21803301 DOI: 10.1016/S1995-7645(11)60138-7
    OBJECTIVE: To investigate the antimicrobial activities of n-hexane, ethyl acetate and methanol extracts of the leaves of Lumnitzera littorea (L. littorea) against six human pathogenic microbes.

    METHODS: The antimicrobial activity was evaluated using disc diffusion and microdilution methods.

    RESULTS: The antimicrobial activities of the crude extracts were increased with increasing the concentration. It is clear that n-hexane extract was the most effective extract. Additionally, Gram positive Bacillus cereus (B. cereus) appear to be the most sensitive strain while Pseudomonas aeruginosa (P. aeruginosa) and the yeast strains (Candida albicans (C. albicans) and Cryptococcus neoformans (C. neoformans)) appear to be resistance to the tested concentrations since no inhibition zone was observed. The inhibition of microbial growth at concentration as low as 0.04 mg/mL indicated the potent antimicrobial activity of L. littorea extracts.

    CONCLUSIONS: The obtained results are considered sufficient for further study to isolate the compounds responsible for the activity and suggesting the possibility of finding potent antibacterial agents from L. littorea extracts.

  10. Antioxidant and cytotoxic properties of two sea cucumbers, Holothuria edulis lesson and Stichopus horrens Selenka
    Althunibat OY, Ridzwan BH, Taher M, Daud JM, Jauhari Arief Ichwan S, Qaralleh H
    Acta. Biol. Hung., 2013 Mar;64(1):10-20.
    PMID: 23567827 DOI: 10.1556/ABiol.64.2013.1.2
    Sea cucumbers are marine invertebrates of the phylum of Echinodermata that have been used in Asian traditional medicine since ancient times. This study was conducted to investigate the antioxidant and cytotoxic properties of aqueous and organic extracts from two sea cucumber species, Holothuria edulis Lesson (Holothuriidae) and Stichopus horrens Selenka (Stichopodidae). Antioxidant activities of the extracts were evaluated by DPPH· and β-carotene bleaching assays, while MTT and trypan blue exclusion assays were used to demonstrate the cytotoxic effects of the extracts against two human cancer cell lines, non-small cell lung cancer cells (A549) and esophageal cancer cells (TE1). The results showed that both aqueous and organic extracts of H. edulis were able to scavenge DPH radical (IC50 at 2.04 mg/ml and 8.73 mg/ml, respectively). Aqueous and organic extracts of S. horrens inhibited 79.62% and 46.66% of β-carotene oxidation by linoleate free radical. On the other hand, the organic extract of S. horrens exhibited the highest cytotoxic effects against A549 and TE1 cancer cells giving IC50 at 15.5 and 4.0 μg/ml, respectively. In conclusion, the present study revealed that H. edulis and S. horrens contain promising levels of antioxidant and cytotoxic natural products that might be used for cancer prevention and treatment.
  11. Fulltext Apoptosis, antimicrobial and antioxidant activities of phytochemicals from Garcinia malaccensis Hk.f
    Taher M, Susanti D, Rezali MF, Zohri FS, Ichwan SJ, Alkhamaiseh SI, et al.
    Asian Pac J Trop Med, 2012 Feb;5(2):136-41.
    PMID: 22221758 DOI: 10.1016/S1995-7645(12)60012-1
    OBJECTIVE: To study the chemical constituents of stembark of Garcinia malaccensis (G. malaccensis) together with apoptotic, antimicrobial and antioxidant activities.

    METHODS: Purification and structure elucidation were carried out by chromatographic and spectroscopic techniques, respectively. MTT and trypan blue exclusion methods were performed to study the cytotoxic activity. Antibacterial activity was conducted by disc diffusion and microdilution methods, whereas antioxidant activities were done by ferric thiocyanate method and DPPH radical scavenging.

    RESULTS: The phytochemical study led to the isolation of α,β-mangostin and cycloart-24-en-3β-ol. α-Mangostin exhibited cytotoxic activity against HSC-3 cells with an IC(50) of 0.33 μM. β- and α-mangostin showed activity against K562 cells with IC(50) of 0.40 μM and 0.48 μM, respectively. α-Mangostin was active against Gram-positive bacteria, Staphylococcus aureus (S. aureus) and Bacillus anthracis (B. anthracis) with inhibition zone and MIC value of (19 mm; 0.025 mg/mL) and (20 mm; 0.013 mg/mL), respectively. In antioxidant assay, α-mangostin exhibited activity as an inhibitor of lipid peroxidation.

    CONCLUSIONS: G. malaccensis presence α- and β-mangostin and cycloart-24-en-3β-ol. β-Mangostin was found very active against HSC-3 cells and K562. The results suggest that mangostins derivatives have the potential to inhibit the growth of cancer cells by inducing apoptosis. In addition, α-and β-mangostin was found inhibit the growth of Gram-positive pathogenic bacteria and also showed the activity as an inhibitor of lipid peroxidation.

  12. Fulltext Apoptotic Activity of New Oxisterigmatocystin Derivatives from the Marine-Derived Fungus Aspergillus nomius NC06
    Artasasta MA, Yanwirasti Y, Taher M, Djamaan A, Ariantari NP, Edrada-Ebel RA, et al.
    Mar Drugs, 2021 Nov 11;19(11).
    PMID: 34822502 DOI: 10.3390/md19110631
    Sponge-derived fungi have recently attracted attention as an important source of interesting bioactive compounds. Aspergillus nomius NC06 was isolated from the marine sponge Neopetrosia chaliniformis. This fungus was cultured on rice medium and yielded four compounds including three new oxisterigmatocystins, namely, J, K, and L (1, 2, and 3), and one known compound, aspergillicin A (4). Structures of the compounds were elucidated by 1D and 2D NMR spectroscopy and by high-resolution mass spectrometry. The isolated compounds were tested for cytotoxic activity against HT 29 colon cancer cells, where compounds 1, 2, and 4 exhibited IC50 values of 6.28, 15.14, and 1.63 µM, respectively. Under the fluorescence microscope by using a double staining method, HT 29 cells were observed to be viable, apoptotic, and necrotic after treatment with the cytotoxic compounds 1, 2, and 4. The result shows that compounds 1 and 2 were able to induce apoptosis and cell death in HT 29 cells.
  13. Apoptotic activities of thymoquinone, an active ingredient of black seed (Nigella sativa), in cervical cancer cell lines
    Ichwan SJ, Al-Ani IM, Bilal HG, Suriyah WH, Taher M, Ikeda MA
    Chin J Physiol, 2014 Oct 31;57(5):249-55.
    PMID: 25241984 DOI: 10.4077/CJP.2014.BAB190
    Thymoquinone (TQ) is the main constituent of black seed (Nigella sativa, spp) essential oil which shows promising in vitro and in vivo anti-neoplastic activities in different tumor cell lines. However, to date there are only a few reports regarding the apoptotic effects of TQ on cervical cancer cells. Here, we report that TQ stimulated distinct apoptotic pathways in two human cervical cell lines, Siha and C33A. TQ markedly induced apoptosis as demonstrated by cell cycle analysis in both cell lines. Moreover, quantitative PCR revealed that TQ induced apoptosis in Siha cells through p53-dependent pathway as shown by elevated level of p53-mediated apoptosis target genes, whereas apoptosis in C33A cells was mainly associated with the activation of caspase-3. These results support previous findings on TQ as a potential therapeutic agent for human cervical cancer.
  14. Chemical constituents and medical benefits of Plantago major
    Adom MB, Taher M, Mutalabisin MF, Amri MS, Abdul Kudos MB, Wan Sulaiman MWA, et al.
    Biomed Pharmacother, 2017 Dec;96:348-360.
    PMID: 29028587 DOI: 10.1016/j.biopha.2017.09.152
    The medicinal benefits of Plantago major have been acknowledged around the world for hundreds of years. This plant contains a number of effective chemical constituents including flavonoids, alkaloids, terpenoids, phenolic acid derivatives, iridoid glycosides, fatty acids, polysaccharides and vitamins which contribute to its exerting specific therapeutic effects. Correspondingly, studies have found that Plantago major is effective as a wound healer, as well as an antiulcerative, antidiabetic, antidiarrhoeal, anti-inflammatory, antinociceptive, antibacterial, and antiviral agent. It also combats fatigue and cancer, is an antioxidant and a free radical scavenger. This paper provides a review of the medicinal benefits and chemical constituents of Plantago major published in journals from year 1937 to 2015 which are available from PubMed, ScienceDirect and Google Scholar.
  15. Cinnamtannin B1 activity on adipocytes formation
    Taher M, Abdul Majid FA, Sarmidi MR
    Med J Malaysia, 2004 May;59 Suppl B:97-8.
    PMID: 15468836
    In attempt to discover a small active compound that could promote adipogenesis, we investigated the ability of cinnamon (Cinnamomum zeylanicum) extracts to stimulate 3T3-L1 preadipocytes, In this study, we designed an experiment by replacing insulin with cinnamon extracts. The differentiated of 3T3-L1 adipocytes were monitored using oil red O staining method. Induction of adipocyte formation by cinnamtannin B1 or water extract gave the similar effects to insulin activity in adipogenesis.
  16. Corrigendum to "Genus Pterocarpus: A review of ethnopharmacology, phytochemistry, biological activities, and clinical evidence" [J. Ethnopharmacol. 278 (2021) 114316]
    Аrbаin D, Saputri GA, Syahputra GS, Widiyastuti Y, Susanti D, Taher M
    J Ethnopharmacol, 2023 Apr 24;306:116201.
    PMID: 36697265 DOI: 10.1016/j.jep.2023.116201
  17. Fulltext Creative treatment of early buried bumper syndrome
    Taher MM, Kosai NR, Gendeh HS
    Ann R Coll Surg Engl, 2014 Nov;96(8):621-2.
    PMID: 25350188 DOI: 10.1308/rcsann.2014.96.8.621b
  18. Fulltext Dalbergiella welwitschia (Baker) Baker f. alkaloid-rich extracts attenuate liver damage in streptozotocin-induced diabetic rats
    Ajiboye BO, Dada S, Fatoba HO, Lawal OE, Oyeniran OH, Adetuyi OY, et al.
    Biomed Pharmacother, 2023 Dec;168:115681.
    PMID: 37837880 DOI: 10.1016/j.biopha.2023.115681
    This experiment was conducted to evaluate the Dalbergiella welwitschia alkaloid-rich extracts on liver damage in streptozotocin-induced diabetic rats. Hence, to induce diabetes, 45 mg/kg body weight of streptozotocin was intraperitoneally injected into the Wistar rats. Subsequently, 5 % (w/v) of glucose water was given to the induced animals for 24 h. Thus, the animals (48) were grouped into five groups (n = 8), containing normal control (NC), diabetic control (DC), diabetic rats placed on low (50 mg/kg body weight) and high (100 mg/kg body weight) doses of D. welwitschi alkaloid-rich leaf extracts (i.e. DWL and DWH respectively), and diabetic rats administered 200 mg/kg body weight of metformin (MET). The animals were sacrificed on the 21st day of the experiment, blood and liver were harvested, and different liver damage biomarkers were evaluated. The results obtained demonstrated that diabetic rats administered DWL, DWH and MET significantly (p  0.05) different when compared with NC. Also, diabetic rats administered DWL, DWH and MET revealed a significant (p  0.05) different when compared with NC. In addition, histological examination revealed that diabetic rats placed on DWL, DWH and MET normalized the hepatocytes. Consequently, it can be inferred that alkaloid-rich extracts from D. welwitschi leaf could be helpful in improving liver damage associated with diabetes mellitus rats.
  19. Distribution of gastric adenocarcinoma subtypes in different ethnicities in Kuala Lumpur, Malaysia
    Sukri A, Hanafiah A, Kosai NR, Taher MM, Mohamed Rose I
    Malays J Pathol, 2017 Dec;39(3):235-242.
    PMID: 29279585 MyJurnal
    The multiracial population in Malaysia has lived together for almost a century, however, the risk of gastric cancer among them varies. This study aimed to determine the distribution of different gastric adenocarcinoma subtypes and Helicobacter pylori infection status among gastric adenocarcinoma patients. Patients with gastric adenocarcinoma were enrolled from November 2013 to June 2015. Blood samples were collected for detection of H. pylori using ELISA method. Gastric adenocarcinoma cases were more prevalent in the Chinese (52.8%), followed by the Malays (41.7%) and least prevalent in the Indians (5.6%). Gastric adenocarcinoma located in the cardia was significantly more prevalent in the Malays (66.7%) compared to the Chinese (26.3%), whereas non-cardia cancer was diagnosed more in the Chinese (73.7%) compared to the Malays (33.3%) [P = 0.019; OR = 5.6, 95 CI: 1.27 to 24.64]. The Malays also had significantly higher prevalence of gastric tumour located at the cardia or fundus than other gastric sites compared to the Chinese (P = 0.002; OR: 11.2, 95% CI: 2.2 to 56.9). Among the cardia gastric cancer patients, 55.6% of the Malays showed intestinal histological subtype, whereas all the Chinese had the diffuse subtype. More than half of the patients (55.3%) with gastric adenocarcinoma were positive for H. pylori infection and among them, 66.7% were Chinese patients. The risk of gastric adenocarcinoma in our population is different among ethnicities. Further studies on host factors are needed as it might play an important role in gastric cancer susceptibility in our population.
  20. Drugs intervention study in COVID-19 management
    Taher M, Tik N, Susanti D
    Drug Metab Pers Ther, 2021 Apr 05.
    PMID: 33818031 DOI: 10.1515/dmdi-2020-0173
    By 9 February 2021, the Coronavirus has killed 2,336,650 people worldwide and it has been predicted that this number continues to increase in year 2021. The study aimed to identify therapeutic approaches and drugs that can potentially be used as interventions in Coronavirus 2019 (COVID-19) management. A systematic scoping review was conducted. Articles reporting clinical evidence of therapeutic management of COVID-19 were selected from three different research databases (Google Scholar, PubMed, and Science Direct). From the database search, 31 articles were selected based on the study inclusion and exclusion criteria. This review paper showed that remdesivir and ivermectin significantly reduced viral ribonucleic acid (RNA) activity. On the other hand, convalescent plasma (CP) significantly improved COVID-19 clinical symptoms. Additionally, the use of corticosteroid increased survival rates in COVID-19 patients with acute respiratory distress syndrome (ARDS). Findings also indicated that both hydroxychloroquine and favipiravir were effective against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, lopinavir-ritonavir combination was not effective against COVID-19. Finally, ribavirin, galidesivir, and sofosbuvir showed potential therapeutic benefit in treating COVID-19, but there is a lack of clinical evidence on their effectiveness against SARS-CoV-2. Remdesivir, ivermectin, favipiravir, hydroxychloroquine, dexamethasone, methylprednisolone, and CP are the therapeutic agents that can potentially be used in COVID-19 management.
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