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Fulltext Age estimation of an Indian population by using the Kim's scoring system of occlusal tooth wear

Telang LA, Patil K, Mahima VG

J Forensic Dent Sci, 2014 Jan;6(1):16-24.
PMID: 24695780 DOI: 10.4103/0975-1475.127765

Age is one of the prime factors employed to establish the identity of an individual and the use of teeth for this purpose has been considered reliable. Tooth wear is widely accepted as a physiological consequence of aging and evaluation of tooth wear can be a simple and convenient tool to estimate age in adults.
Rosmarinic acid attenuates inflammation in experimentally induced arthritis in Wistar rats, using Freund's complete adjuvant

Gautam RK, Gupta G, Sharma S, Hatware K, Patil K, Sharma K, et al.

Int J Rheum Dis, 2019 Jul;22(7):1247-1254.
PMID: 31155849 DOI: 10.1111/1756-185X.13602

AIM: The purpose of our investigation is to evaluate the anti-arthritic potential of isolated rosmarinic acid from the rind of Punica granatum.
METHOD: Rosmarinic acid was isolated by bioactivity-guided isolation from butanolic fraction of Punica granatum and acute toxicity of rosmarinic acid was carried out. The experiment was conducted at doses of 25 and 50 mg/kg, in Freund's complete adjuvant (FCA)-induced arthritic rats. Various parameters, that is arthritic score, paw volume, thickness of paw, hematological, antioxidant and inflammatory parameters such as glutathione (GSH), superoxide dismutase (SOD), malonaldehyde (MDA) and tumor necrosis factor-α (TNF-α) were also estimated.
RESULTS: Rosmarinic acid significantly decreased the arthritic score, paw volume, joint diameter, white blood cell count and erythrocyte sedimentation rate. It also significantly increased body weight, hemoglobin and red blood cells. The significantly decreased levels of TNF-α were observed in treated groups as compared to arthritic control rats (P
A Review on Graphene Analytical Sensors for Biomarker-based Detection of Cancer

Gopinath SCB, Ramanathan S, More M, Patil K, Patil SJ, Patil N, et al.

Curr Med Chem, 2024;31(12):1464-1484.
PMID: 37702170 DOI: 10.2174/0929867331666230912101634

The engineering of nanoscale materials has broadened the scope of nanotechnology in a restricted functional system. Today, significant priority is given to immediate health diagnosis and monitoring tools for point-of-care testing and patient care. Graphene, as a one-atom carbon compound, has the potential to detect cancer biomarkers and its derivatives. The atom-wide graphene layer specialises in physicochemical characteristics, such as improved electrical and thermal conductivity, optical transparency, and increased chemical and mechanical strength, thus making it the best material for cancer biomarker detection. The outstanding mechanical, electrical, electrochemical, and optical properties of two-dimensional graphene can fulfil the scientific goal of any biosensor development, which is to develop a more compact and portable point-of-care device for quick and early cancer diagnosis. The bio-functionalisation of recognised biomarkers can be improved by oxygenated graphene layers and their composites. The significance of graphene that gleans its missing data for its high expertise to be evaluated, including the variety in surface modification and analytical reports. This review provides critical insights into graphene to inspire research that would address the current and remaining hurdles in cancer diagnosis.
Image collection and annotation platforms to establish a multi-source database of oral lesions

Rajendran S, Lim JH, Yogalingam K, Kallarakkal TG, Zain RB, Jayasinghe RD, et al.

Oral Dis, 2023 Jul;29(5):2230-2238.
PMID: 35398971 DOI: 10.1111/odi.14206

OBJECTIVE: To describe the development of a platform for image collection and annotation that resulted in a multi-sourced international image dataset of oral lesions to facilitate the development of automated lesion classification algorithms.
MATERIALS AND METHODS: We developed a web-interface, hosted on a web server to collect oral lesions images from international partners. Further, we developed a customised annotation tool, also a web-interface for systematic annotation of images to build a rich clinically labelled dataset. We evaluated the sensitivities comparing referral decisions through the annotation process with the clinical diagnosis of the lesions.
RESULTS: The image repository hosts 2474 images of oral lesions consisting of oral cancer, oral potentially malignant disorders and other oral lesions that were collected through MeMoSA® UPLOAD. Eight-hundred images were annotated by seven oral medicine specialists on MeMoSA® ANNOTATE, to mark the lesion and to collect clinical labels. The sensitivity in referral decision for all lesions that required a referral for cancer management/surveillance was moderate to high depending on the type of lesion (64.3%-100%).
CONCLUSION: This is the first description of a database with clinically labelled oral lesions. This database could accelerate the improvement of AI algorithms that can promote the early detection of high-risk oral lesions.