Drug Discovery & Design — AI medical research

Pyrazinamide-Resistant TuberculosisAI found new drug candidates against resistant tuberculosis quickly and effectively.If validated further, this AI-led approach could help researchers find better medicines faster for drug-resistant tuberculosis, guiding future drug studies.LungsRead →
Carbon Dioxide Adsorption In Biomass-Derived Activated CarbonsAI helped predict and explain how biomass carbons absorb CO2 accurately.This could help researchers speed up designing better materials to capture CO2 by revealing key factors affecting absorption.LungsRead →
Calcific Aortic Valve DiseaseAI improved predictions for new drug targets and disease links using complex molecular data.This could help researchers find new treatments faster by better linking drugs and diseases based on detailed data. If validated further, it may lead to discovering new medicine targets.HeartRead →
Drug-Resistant TuberculosisAI sped up finding possible new drugs against resistant tuberculosis.This could help researchers find new medicines faster for tough infections, if validated further. It also shows how AI can speed drug research.Immune systemRead →
Antibody-Antigen InteractionsAI technique speeds up and improves prediction of how antibodies bind and release antigens.This could help researchers quickly find better antibodies by measuring how long they stick to targets, not just how tight the binding is. Faster testing may point toward more effective drug designs if validated further.Immune systemRead →
Candida InfectionsAI designed a new antifungal peptide that works better against drug-resistant Candida.This could help researchers create better antifungal drugs faster by improving natural peptides using AI and computer models.Immune systemRead →
Colorectal CancerAI helped find key genes linked to how aspartame affects colorectal cancer cells.This could help researchers better understand how aspartame might impact cancer cell behavior and guide future studies on cancer risks and treatments if validated further.Cancer researchRead →
Hepatocellular CarcinomaAI identified a new cell death index linked to liver cancer outcomes and treatment response.This could help researchers measure and predict survival and treatment effects more precisely in liver cancer studies if validated further.LiverRead →