Research

Ultra-Thin but Tough Implantable Material could Treat Spinal Cord Injury and Parkinson's Disease

Flexible implanted electronics are a step closer toward clinical applications thanks to a recent breakthrough technology developed by a research team from Griffith University and UNSW Sydney.

The work was pioneered by Dr Tuan-Khoa Nguyen, Professor Nam-Trung Nguyen and Dr Hoang-Phuong Phan (currently a senior lecturer at the University of New South Wales) from Griffith University's Queensland Micro and Nanotechnology Centre (QMNC) using in-house silicon carbide technology as a new platform for long-term electronic biotissue interfaces.

AI Algorithm that Detects Brain Abnormalities could Help Cure Epilepsy

An artificial intelligence (AI) algorithm that can detect subtle brain abnormalities which cause epileptic seizures has been developed by a UCL-led team of international researchers.

The Multicentre Epilepsy Lesion Detection project (MELD) used over 1,000 patient MRI scans from 22 global epilepsy centres to develop the algorithm,

AI Tools Predict DNA's Regulatory Role and 3D Structure

Newly developed artificial intelligence (AI) programs accurately predicted the role of DNA's regulatory elements and three-dimensional (3D) structure based solely on its raw sequence, according to two recent studies in Nature Genetics. These tools could eventually shed new light on how genetic mutations lead to disease and could lead to new understanding of how genetic sequence influences the spatial organization and function of chromosomal DNA in the nucleus,

New AI Technology Integrates Multiple Data Types to Predict Cancer Outcomes

While it's long been understood that predicting outcomes in patients with cancer requires considering many factors, such as patient history, genes and disease pathology, clinicians struggle with integrating this information to make decisions about patient care. A new study from researchers from the Mahmood Lab at Brigham and Women's Hospital reveals a proof-of-concept model that uses artificial intelligence (AI) to combine multiple types of data from different sources to predict patient outcomes for 14 different types of cancer.

Proteins and Natural Language: AI Enables the Design of Novel Proteins

Artificial intelligence (AI) has created new possibilities for designing tailor-made proteins to solve everything from medical to ecological problems. A research team at the University of Bayreuth led by Prof. Dr. Birte Höcker has now successfully applied a computer-based natural language processing model to protein research.

Using Smartphones could Help Improve Memory Skills

Using digital devices, such as smartphones, could help improve memory skills rather than causing people to become lazy or forgetful, finds a new study led by UCL researchers.

The research, published in Journal of Experimental Psychology: General, showed that digital devices help people to store and remember very important information.

Advancing Dynamic Brain Imaging with AI

MRI, electroencephalography (EEG) and magnetoencephalography have long served as the tools to study brain activity, but new research from Carnegie Mellon University introduces a novel, AI-based dynamic brain imaging technology which could map out rapidly changing electrical activity in the brain with high speed, high resolution, and low cost.

Research News

Ultra-Thin but Tough Implantable Material could Treat Spinal Cord Injury and Parkinson's Disease

AI Algorithm that Detects Brain Abnormalities could Help Cure Epilepsy

AI Tools Predict DNA's Regulatory Role and 3D Structure

New AI Technology Integrates Multiple Data Types to Predict Cancer Outcomes

Proteins and Natural Language: AI Enables the Design of Novel Proteins

Using Smartphones could Help Improve Memory Skills

Advancing Dynamic Brain Imaging with AI

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