Mandya Institute of Medical Sciences, in short MIMS, is an autonomous government medical college of Government of Karnataka. Located on the National Highway 275 of Benagaluru - Mysuru at a distance of 90 kilometers from Bangalore and 46 kilometers from Mysuru.
This study presents an explainable machine learningbased framework for the dual diagnosis of osteoporosis and osteoarthritis in knee X-ray images by identifying specific visual indicators, such as trabecular bone patterns, osteophyte formation, and joint space reduction, providing an accessible and inexpensive assessment option. A unified pipeline integrating image processing and deep learning techniques is developed, where each component corresponds to a specific radiographic feature. The framework links each diagnosis to the appropriate radiographic markers and facilitates the identification of instances in which osteoporosis and osteoarthritis coexist within the same radiograph. By emphasizing visual explanation, the proposed approach enhances interpretability and supports clinically meaningful decision-making.
Background: Wound repair represents a highly intricate, multi-phase biological sequence encompassing hemostasis, inflammation, proliferation, as well as subsequent remodeling, while burn injuries further impede this progression due to the presence of tissue necrosis, intensified inflammatory responses and microbial infiltration. The rising challenge of antimicrobial resistance, along with escalating treatment expenses, has consequently prompted renewed attention toward plant-derived therapeutics, and Euphorbia hirta Linn., long utilized across diverse traditional medicinal systems, contains numerous bioactive constituents that exhibit considerable potential in facilitating wound healing. Objectives: To evaluate the effectiveness of the ethanolic extract derived from the entire Euphorbia hirta Linn. plant in promoting wound and burn healing is assessed through pharmacognostic and phytochemical approaches, along with the use of animal-based experimental models. Methods: Once collected and identified, the whole plant was subjected to Soxhlet extraction using ethanol and then followed by fractionation. Standard procedures were employed to perform pharmacognostic as well as physicochemical evaluations, while preliminary phytochemical screening along with TLC and spectroscopic analyses was carried out. Wound-healing activity was evaluated using excision, incision, dead space and burn wound models, during which parameters such as wound contraction, epithelialization period and tensile strength were recorded. Results: With physicochemical parameters remaining within acceptable limits, the quality of the plant material was thereby confirmed. Phytochemical screening revealed the presence of flavonoids, tannins, phenolics, saponins as well as glycosides, particularly in the ethanolic extract. In comparison to the control, the extract showed a significant increase in wound contraction (92 ± 1.2% on day 12), enhanced tensile strength (378 ± 14 g) and a shortened epithelialization period (12 ± 0.9 days. Conclusion: The ethanolic extract of Euphorbia hirta Linn. demonstrates significant wound as well as burn wound healing activity, likely attributed to the synergistic effects of its bioactive phytoconstituents. The study thereby provides scientific validation for its traditional use and underscores its potential as a cost-effective herbal alternative for wound management, particularly in resource-limited settings.
OBJECTIVE:To compare the efficacy, safety and tolerability of elagolix with dienogest in women with moderate-to-severe endometriosis-associated pain. DESIGN:A multicentre, double-blind, double-dummy, randomised, parallel-group, active-controlled, non-inferiority phase III study. SETTING:Nineteen clinical centres across India. STUDY POPULATION:Women (18-49 years) diagnosed with endometriosis and experiencing moderate-to-severe pain. METHODS:Participants were randomised (1:1) to receive oral elagolix (150 mg once daily) or dienogest (2 mg once daily) for 24 weeks. OUTCOME MEASURES:The primary outcome was change in endometriosis-related pain (Numeric Rating Scale [NRS]) from baseline to Day 85. Secondary outcomes included changes in NRS (Day 169), dysmenorrhoea, non-menstrual pelvic pain (NMPP) scores (Days 85 and 169), rescue medication use, patient global impression of change (PGIC), adverse events and bone mineral density. RESULTS:Of 340 patients screened, 230 were randomised (115 per group). At Day 85, both arms showed similar reductions in NRS pain scores with a treatment difference of 0.04 (95% CI: -0.3, 0.37) [p = 0.9747] demonstrating non-inferiority as upper 95% CI was below pre-specified margin of 1.5. At Day 169, both arms showed comparable improvements in overall pain, dysmenorrhoea and NMPP from baseline (p = 0.9372, p = 0.8884, and p = 0.9616, respectively). Rescue medication use and PGIC were comparable between treatment arms. Adverse event incidence was similar (elagolix: 14.8%; dienogest: 19.1%), with no serious TEAEs or discontinuations. No significant bone mineral density changes were observed. CONCLUSIONS:Elagolix demonstrated non-inferiority to dienogest with an acceptable safety and tolerability profile, supporting its use in managing endometriosis-associated pain. TRIAL REGISTRATION:ClinicalTrials.gov identifier: CTRI/2023/01/049292.
We present a multi center breast fine needle aspiration cytology (FNAC) dataset designed for patch wise classification using C1 to C5 reporting labels. The prospective dataset includes 321 patients and 470 whole-slide images (WSIs) collected from participating tertiary medical centers in India between May 2023 and March 2026. Slides were stained using Papanicolaou (190 WSIs) or MayGrunwald Giemsa (280 WSIs), scanned on a Hamamatsu NanoZoomer S360 at 40X magnification and 0.25 microns per pixel, and stored directly in NDPI format. Across the 470 WSIs, 446 WSIs contain annotated patch regions, yielding 7,398 PNG image patches with expert-verified C1 to C5 labels. The release includes NDPI WSIs, WSI-level GeoJSON annotation files, extracted patch images, deidentified metadata, a data dictionary, a validation summary, a manifest linking WSIs to Zenodo records, and code for dataset inspection and reuse. The complete dataset is approximately 950 GB and is available through Zenodo.
Background: The current digital environment gives continuous, fast accessible, and easy happiness as rewards through social media sites. Like this frequent over exposure to easy and fast rewards may subside the natural motivation given by cognitively effortful tasks like studying, by repeatedly stimulating the brain’s dopaminergic reward systems. This is known as “Reward Hijack”. This trend of hijack is currently applicable to the youth of this country who should be focussing on study related effort, but instead they focus more on social media, for instant gratification. Objectives: To find the association between Social Media Over usage and Study related effort sensitivity among Medical and Paramedical students in India. Materials and Methods: This is a cross sectional study, which is based on Questionnaire and was conducted on 175 MBBS and 100 Paramedical students. Pearson’s correlation coefficient was used to analyse data to determine the relationship overuse and study related effort sensitivity. Ethical clearance was obtained and Informed consent was got from all the participants. Results: The results showed that the mean social media overuse score was 3.18 ± 0.82, and the mean effort sensitivity score was 3.52 ± 0.74. These two variables suggest a moderate negative correlation (r = –0.41, p = 0.0002), which indicate that higher social media usage was associated with decreased motivation and sensitivity toward study related effort. Conclusion: The study’s findings shows, continuous exposure to rapid and easy rewards given by social media will hijack the brain’s reward system and decrease interest in delayed but truthful academic rewards. Such reward hijacks could be prevented by conducting awareness programmes and teaching strategies to come out of the social media usage.
