Research

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).

Clinical Predictive Models Created by AI are Accurate but Study-Specific

In a recent study, scientists have been investigating the accuracy of AI models that predict whether people with schizophrenia will respond to antipsychotic medication. Statistical models from the field of artificial intelligence (AI) have great potential to improve decision-making related to medical treatment. However, data from medical treatment that can be used for training these models are not only rare, but also expensive.

Accelerating How New Drugs are Made with Machine Learning

Researchers have developed a platform that combines automated experiments with AI to predict how chemicals will react with one another, which could accelerate the design process for new drugs.

Predicting how molecules will react is vital for the discovery and manufacture of new pharmaceuticals, but historically this has been a trial-and-error process, and the reactions often fail.

Research News

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

Clinical Predictive Models Created by AI are Accurate but Study-Specific

Accelerating How New Drugs are Made with Machine Learning

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