Predicting Repeat Admissions To Substance Abuse Treatment With Machine Learning

Predicting Repeat Admissions to Substance Abuse Treatment with Machine Learning

Algorithmic Fairness in Predicting Opioid Use Disorder using Machine Learning

ACM FAccT Conference

Machine learning approach for drug response prediction in Diffuse large B-cell lymphoma patients

Clinical Decision Making with Machine Learning

Algorithmic Fairness in Predicting Opioid Use Disorder using Machine Learning

Institute for Experiential AI

Deep learning can predict treatment response in patients with progressive MS

Applying Machine Learning Techniques in Stata to Predict Health Outcomes Using HIV-related Data

UCSF Center for AIDS Prevention Studies (CAPS) & Prevention Research Center (PRC)

Yoshua Bengio: Machine Learning Projects Against COVID-19

Prioritizing Pain-Associated Targets and Drugs with Machine Learning

A machine learning model to predict immunotherapy response in cancer patients

Medical Dialogues

AI in Healthcare: drug repurposing by Jabe Wilson

RELX

"How machine learning helps cancer research" by Evelina Gabasova

Strange Loop Conference

Machine learning could predict medication response in patients with complex mood disorders

LawsonHealthResearch

Top 10 Predictions for Addiction Treatment in 2024 #addictionrecovery #substanceusetreatment

The Recovery Village Drug and Alcohol Rehab

AI in Individualized Medicine and Genomics: Transfer Learning and Drug Response Prediction

Computational pharmacogenomics in precision oncology | Clinical ML | Michael Menden

Applied Machine Learning Days

Machine Learning for Drug Discovery (Explained in 2 minutes)

ClosedLoop Utilizes AI and Machine Learning to Help Users Identify and Predict High-Risk Populations

Workshop 2H- How to predict the risk of overdose?

Addictions and Concurrent Disorders Research Group

Harnessing repeated measurements of predictor variables: A review of existing

NIHR Maudsley BRC