Open Call HORIZON-JU-IHI-2022-01-01: An Innovative Decision-Support System for Improved Care Pathways for Patients with Neurodegenerative Diseases and Comorbidities

Neurodegenerative disorders represent a high societal burden impacting patients, their families, and public healthcare systems. Patients with a neurodegenerative disorder frequently display at least one comorbidity, which together with the observed polypharmacy creates a highly complex system that needs better understanding to optimise current care pathways. Recent developments give grounds for cautious optimism that a disease-modifying therapy is on the horizon.

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Could Cloud Telephony Data Help You to Secure QOF Access Points?

Opinion Article by Derrick Measham, Head of Research and Development, Cloud Telephony Specialist X-on.
It's no secret that GP practices are under enormous pressure, or that this is undermining public confidence in primary care.

The problem was spelled out in Dr Claire Fuller's 'Stocktake' for NHS England in May, which reported that "there are real signs of genuine and growing discontent with primary care - both from the public who use it and from the professionals who work within it."

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No One-Size-Fits-All AI Approach Works for Prevention, Diagnosis or Treatment Using Precision Medicine

A Rutgers analysis of dozens of artificial intelligence (AI) software programs used in precision, or personalized, medicine to prevent, diagnose and treat disease found that no program exists that can be used for all treatments.

Precision medicine, a technology still in its infancy, is an approach to treatment that uses information about an individual's medical history and genetic profile and relates it to the information of many others to find patterns that can help prevent, diagnose or treat a disease.

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Big Data in the ER

Scientists from the Department of Traumatology and Acute Critical Medicine at the Osaka University Graduate School of Medicine developed an AI algorithm to predict the risk of mortality for patients suffering a major injury. Using the Japan Trauma Data Bank for the years 2013 to 2017, they were able to obtain records for over 70,000 patients who had experienced blunt-force trauma, which allowed the researchers to identify critical factors that could guide treatment strategies more precisely.

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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.

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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,

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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,

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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.

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Global Product Manager - Digital Services for Healthcare

The Global Product Manager of Digital Services for Healthcare will be responsible for identification and product management of enabling technology to drive the further digitalization of our service business focused on use cases that drive high-value in healthcare.

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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.

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