A step-by-step tutorial for applying machine learning to drug resistance
Antimicrobial resistance is a growing health crisis that could lead to millions of deaths by 2050, according to the World ...
Development Of Prediction Model For Brain Amyloid-Beta Accumulation For Early Screening Of Alzheimer's Disease
Development of Prediction Model for Brain Amyloid-Beta Accumulation for Early Screening of Alzheimer's Disease MACHINE LEARNING MODEL USING ...
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Machine Learning and Explainable AI revolutionize diabetes prediction
While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for clinical adoption. Healthcare professionals require AI models to not only be ...
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Machine Learning Predicts Protein Behavior, Aiding Drug Design
Researchers developed ProtGPS, an AI tool that predicts protein localization in cells and how mutations affect disease. The ...
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Using machine learning for the personalised prognostication of Merkel cell carcinoma
Machine learning tools can improve personalised prognostication of aggressive skin cancers such as Merkel cell carcinoma, a ...
AI predicts effective treatment for rare disease using existing medications
After combing through 4,000 existing medications, an artificial intelligence tool helped uncover one that saved the life of a patient with idiopathic multicentric Castleman's disease (iMCD).
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Machine Learning at CU Boulder
Machine learning is a subfield of Artificial Intelligence (AI) concerned with developing computer programs and systems that learn and make predictions from data ... predicting disease outbreaks, ...
AI advancement in T cell epitope prediction could propel vaccine development
A collaboration between the Ragon Institute and the Jameel Clinic at MIT has achieved a significant milestone in leveraging artificial intelligence (AI) to aid the development of T cell vaccine ...