This study determined Tinospora cordifolia phytochemicals as potential DPP-4 inhibitors, offering promising therapeutic candidates for type 2 diabetes.

This research demonstrates urgent disparities in cardiovascular health among Medicare beneficiaries, emphasizing the need for targeted interventions in vulnerable communities.

This study elucidates the critical role of outreach strategies in increasing colorectal cancer screening and genetic testing participation.

This study determines the pharmacists' essential role in managing hypertension, enhancing cancer patient care, and improving overall health outcomes through targeted interventions.

This study demonstrated that a 5% milk-based ointment significantly accelerated wound healing and improved tissue strength compared to conventional treatments in rabbits.

This study determined the critical role of clinical pharmacists in reducing cardiovascular disease risk factors, improving patient outcomes through community-based interventions.

This study determines the ATC-CNN’s superior performance in real-time monitoring of cardiovascular patients revolutionizes care, enhancing access, accuracy, and clinical outcomes.

This study determined the risks of low-dose X-ray exposure on blood parameters, contributing to radiation safety knowledge.

This study determined the potential of ancient Ayurvedic formulations for modern wound care, promoting effective healing while reducing treatment costs.

This study determined a novel approach combining SOM and IRNN with EHSO to enhance early detection of ovarian cancer, improving diagnostic accuracy and efficiency.

This study demonstrated the superior potential of Web-Text Sentiment Analysis in predicting cardiovascular disease over demographic-based models.

This research demonstrates a novel Mask R-CNN with ResNet-FPN framework for improved segmentation and classification of Diabetic Foot Ulcers, enhancing diagnostic accuracy.

This study presents a novel AR-based approach for accurate, non-invasive chronic wound evaluation, enhancing clinician-patient communication and care.

This study demonstrates Radiology-specific word encodings potential in improving the performance of radiology-focused BNLP tasks using diverse word embeddings.

Digitizing supply chains with Blockchain technology improves transparency, reduces costs, and ensures secure medication distribution, crucial for pharmaceutical safety.

Combining CNN and LSTM models with feature enhancement significantly improves heart disease prediction, offering precise and timely interventions.

This study demonstrates that integrating machine learning with decision support systems significantly improves prescription error detection, reducing medication errors and enhancing patient safety.

This study presents a novel 20-layer ResNet50 model for improving drug solubility predictions, surpassing traditional methods and human expertise.

This study validates HPLC for accurately quantifying glycyrrhizic acid in FLEGMEN-SIP capsules, ensuring therapeutic compliance for neurological treatments.

This study evaluates Lanctos 75™ as a potential therapeutic agent for diabetic retinopathy, targeting angiogenesis, oxidative stress, and inflammation.

This study demonstrated the potential of specific polyphenolic compounds in regulating hemostasis and biochemical imbalances in type 2 diabetes mellitus.

This study enhanced precision in dental and surgical procedures by detailing mandibular foramen variations influenced by gender and age, reducing complications.

Atherosclerotic patients need therapies targeting inflammation and oxidation. This study supports Dapagliflozin's use for clinical benefits in atherosclerosis.

This study enhances drug release evaluation and improves therapeutic outcomes using advanced dissolution testing techniques.

Developing pegylated liposomal teriflunomide may enhance breast cancer treatment efficacy, reduce side effects, and improve patient outcomes.

This review discusses the use of nanoparticles as innovative solutions for disrupting bacterial oral biofilms, enhancing antimicrobial efficacy, and revolutionizing oral healthcare with minimal resistance.

This study provides extensive real-world data on Kymriah's efficacy and safety, revealing valuable insights into its use in B-ALL and NHL.

This review assessed the advantages, limitations, and combined efficacy of radiology and OCT in dental diagnostics, enhancing imaging precision.

AI is revolutionizing drug development by accelerating discoveries and creating more personalized treatments, thereby making healthcare more efficient for everyone.

Machine Learning (ML) transforms drug development, predicting drug properties, targets, interactions, and facilitating efficient exploration for researchers and pharmaceutical companies.

Microalbuminuria indicates early kidney damage and cardiovascular risk. Early detection and management are crucial for preventing disease progression and improving outcomes.

Reviews current literature on use of phytochemicals in prevention and therapy of ovarian cancer including mechanism of action.