Research

AI can Predict Brain Cancer Patients' Survival

Artificial Intelligence (AI) can predict whether adult patients with brain cancer will survive more than eight months after receiving radiotherapy treatment.

The use of the AI to successfully predict patient outcomes would allow clinicians to be better informed for planning the next stage of treatment and refer patients to potentially life-saving treatment quicker.

Paper Calls for Patient-First Regulation of AI in Healthcare

Ever wonder if the latest and greatest artificial intelligence (AI) tool you read about in the morning paper is going to save your life? A new study published in JAMA led by John W. Ayers, Ph.D., of the Qualcomm Institute within the University of California San Diego, finds that question can be difficult to answer since AI products in healthcare do not universally undergo any externally evaluated approval process assessing how it might benefit patient outcomes before coming to market.

AI in Personalized Cancer Medicine: New Therapies Require Flexible and Safe Approval Conditions

The application of AI in precision oncology has so far been largely confined to the development of new drugs and had only limited impact on the personalisation of therapies. New AI-based approaches are increasingly being applied to the planning and implementation of personalised drug and cell therapies.

Autonomous Synthesis Robot Uses AI to Speed Up Chemical Discovery

Chemists of the University of Amsterdam (UvA) have developed an autonomous chemical synthesis robot with an integrated AI-driven machine learning unit. Dubbed 'RoboChem', the benchtop device can outperform a human chemist in terms of speed and accuracy while also displaying a high level of ingenuity.

AI Harnesses Tumor Genetics to Predict Treatment Response

In a groundbreaking study published on January 18, 2024, in Cancer Discovery, scientists at University of California San Diego School of Medicine leveraged a machine learning algorithm to tackle one of the biggest challenges facing cancer researchers: predicting when cancer will resist chemotherapy.

All cells, including cancer cells, rely on complex molecular machinery to replicate DNA as part of normal cell division.

Novel AI Platform Matches Cardiologists in Detecting Rheumatic Heart Disease

Artificial intelligence (AI) has the potential to detect rheumatic heart disease (RHD) with the same accuracy as a cardiologist, according to new research demonstrating how sophisticated deep learning technology can be applied to this disease of inequity. The work could prevent hundreds of thousands of unnecessary deaths around the world annually.

AI Helps Coronary CT Angiography and Accelerates the Development of Precision Medicine

This review was jointly published by Prof. Long-Jiang Zhang (Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University) and Prof. Christian Tesche (Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina and Department of Cardiology, Munich University Clinic, Ludwig-Maximilian-University).

Research News

AI can Predict Brain Cancer Patients' Survival

Paper Calls for Patient-First Regulation of AI in Healthcare

AI in Personalized Cancer Medicine: New Therapies Require Flexible and Safe Approval Conditions

Autonomous Synthesis Robot Uses AI to Speed Up Chemical Discovery

AI Harnesses Tumor Genetics to Predict Treatment Response

Novel AI Platform Matches Cardiologists in Detecting Rheumatic Heart Disease

AI Helps Coronary CT Angiography and Accelerates the Development of Precision Medicine

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