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Integration of ML in the diagnosis and treatment of neurodegenerative diseases

A recent Nature review, describes the latest developments in the use of machine learning approaches to interrogate datasets in neurodegenerative […]

Modelling Alzheimer’s Disease Progression to Simulate Intervention Strategies

A recent study presented SimulAD, a novel computational model of Alzheimer’s disease progression, which simulates intervention strategies for treatment of […]

Say cheese: Deep learning detects coronary artery disease based on photos

A team of researchers have developed and validated a deep learning algorithm for detecting coronary artery disease (CAD) based on […]

Deep learning framework accurately predicts and diagnoses Alzheimer’s Disease

Early and accurate diagnosis of Alzheimer’s remains the most effective way of reducing the burden of the disease, which is […]

Interview with Dr Michelle Krishnan, Translational Medicine Leader in rare diseases, Roche

FLG: Could you introduce yourself and tell us about the work you are currently doing at Roche? I am a […]

New diagnostic tool for Alzheimer’s could improve drug trial recruitment

Researchers at Lund University in Sweden have developed an algorithm that combines data from simple blood tests and brief memory […]

The role of artificial intelligence (AI) and big data in drug discovery

For the first time, a review explored in depth how big data and artificial intelligence (AI) techniques are currently being […]

Analysis of Real-World Evidence to Identify New Treatments for Bipolar Disorders

Although progress has been made in our understanding of the underlying pathophysiology of major depressive and bipolar disorders, there is […]

Identifying Drug Repurposing Candidates for COVID-19 Using Drug-Wide Association Studies

A recent study carried out a systematic evaluation of the drugs available in electronic health record data, including prescription drugs […]

Identifying Target Populations Using Real-World Data to Guide Antidiabetic Drug Trials

Regulatory agencies have recommended designing more representative trials of anti-diabetic drugs, but this first requires defining clinically relevant target populations […]