
Drug repurposing for neglected and zoonotic diseases.
Exploring drug repurposing for neglected diseases can enhance research efficiency and reduce costs. ππ Read our review of a recent study.
Discover the newest research about AI innovations in π€ Machine Learning.

Exploring drug repurposing for neglected diseases can enhance research efficiency and reduce costs. ππ Read our review of a recent study.

AI models assess physiological age using biomarkers, impacting drug metabolism. Key predictors include glycohemoglobin and systolic blood pressure. π§¬π

A deep learning model shows high accuracy in measuring lumbar curvature from X-ray images. Promising for clinical applications! ππ©»

Radiogenomics combines imaging and genetics for cancer treatment. π€π This review highlights AI’s role and future challenges.

A recent PubMed article explores how SARS-CoV-2 genomic diversity affects COVID-19 severity. Key findings enhance prediction models. ππ¦

Guidelines for ethical AI use in healthcare are essential for safety and transparency. π₯π€ Ensuring patient care quality is a priority.

Recent research highlights lipid metabolism-related genes’ role in Alzheimer’s disease. Machine learning identifies potential biomarkers and treatment avenues. π§ π¬

Study reveals GPT-4’s potential in diagnostics but shows limited improvement in physician decision-making. Further research needed. π©Ίπ€

A new lower-limb exoskeleton enhances walking stability and reduces muscle force. Ideal for stroke patients and those with weakness. π€π£

AI model predicts dual-target medications, aiding in drug development for more effective treatments. π§ͺπ