Health Tech Insights: Expectations for 2025
Health Tech Insights: Expectations for 2025 ๐
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. ๐ฅโจ
January 2, 2025
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Discover the newest research about AI innovations in ๐งช Drug Discovery.
AI-Driven Drug Discovery for Rare Diseases.
AI is transforming drug discovery for rare diseases, addressing challenges in treatment options and diagnostics. ๐๐
December 18, 2024
Introducing Evo: A Generative AI Model for Genetic Code
Evo is a generative AI model that writes genetic code, aiding research in genomics and bioengineering. ๐งฌโจ
December 9, 2024
Discovery of Vascular Endothelial Growth Factor Receptor 2 Inhibitors Employing Junction Tree Variational Autoencoder with Bayesian Optimization and Gradient Ascent.
New research highlights innovative methods to discover VEGFR-2 inhibitors using advanced deep learning techniques. ๐งฌ๐ก
December 2, 2024
In Silico Tools to Score and Predict Cholesterol-Protein Interactions.
Cholesterol’s unique role in health is explored through innovative in silico tools for predicting protein interactions. ๐งฌ๐
December 2, 2024
Ginkgetin Alleviates Inflammation and Senescence by Targeting STING.
Ginkgetin from Ginkgo biloba shows promise in reducing inflammation and aging effects by targeting the STING pathway. ๐ฟโจ
November 19, 2024
Keeping pace in the age of innovation: The perspective of Dutch pharmaceutical science students on the position of machine learning training in an undergraduate curriculum.
Pharmaceutical students value machine learning training for future careers. Integration into curricula is essential for innovation. ๐๐ก
November 18, 2024
Deep learning pipeline for accelerating virtual screening in drug discovery.
Discover how VirtuDockDL enhances drug discovery using deep learning. ๐งฌ It achieves remarkable accuracy in identifying potential drug candidates. ๐
November 17, 2024
Drug repurposing for neglected and zoonotic diseases.
Exploring drug repurposing for neglected diseases can enhance research efficiency and reduce costs. ๐๐ Read our review of a recent study.
November 15, 2024
Artificial intelligence modeling of biomarker-based physiological age: Impact on phase 1 drug-metabolizing enzyme phenotypes.
AI models assess physiological age using biomarkers, impacting drug metabolism. Key predictors include glycohemoglobin and systolic blood pressure. ๐งฌ๐
November 15, 2024