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 ...
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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 ...
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 ...
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 ...
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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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 ...
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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, ...
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AI advancement in T cell epitope prediction could propel vaccine development
By integrating machine learning, researchers can now ... MUNIS significantly outperformed existing epitope prediction models. The tool was validated using experimental data from influenza, HIV ...