Hybrid genetic predictive modeling for finding optimal multipurpose multicomponent therapy

The effect of oral diabetes medications on glycated haemoglobin (HbA1c) in Asians in primary care: a retrospective cohort real-world data study

(2022) Hao Sen Andrew Fang et al.   BMC Medicine

A comparative study of machine learning models for predicting the state of reactive mixing

(2021) B. Ahmmed et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning‐enabled molecular diagnostics

(2020) Ariane Khaledi et al.   EMBO Molecular Medicine

Management of heart failure and type 2 diabetes mellitus: Maximizing complementary drug therapy

(2020) Javed Butler et al.   DIABETES OBESITY & METABOLISM

Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells

(2020) Brent M. Kuenzi et al.   CANCER CELL

A Comparative Performance Assessment of Ensemble Learning for Credit Scoring

(2020) Yiheng Li et al.   Mathematics

Molecular profiling of cancer patients enables personalized combination therapy: the I-PREDICT study

(2019) Jason K. Sicklick et al.   NATURE MEDICINE

A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis

(2015) Carlo Barbieri et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations?

(2015) Dávid Bajusz et al.   Journal of Cheminformatics

Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties

(2013) Michael P. Menden et al.   PLoS One

Cardiovascular effects of GLP-1 and GLP-1-based therapies: implications for the cardiovascular continuum in diabetes?

(2012) M. Burgmaier et al.   DIABETIC MEDICINE

Optimizing Antimicrobial Therapy in Sepsis and Septic Shock

(2009) Anand Kumar   CRITICAL CARE CLINICS