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Roche Announces PathAI Collaboration for AI-Based Digital Pathology Applications for Improved Patient Care

Roche (SIX: RO, ROG; OTCQX: RHHBY) has entered an agreement with PathAI, a global leader in artificial intelligence (AI)-powered technology for pathology. Under the development and distribution agreement, the companies will jointly develop an embedded image analysis workflow for pathologists.

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Ear Sensor Enables Safe Telemedical Care for COVID-19 Risk Patients

Using telemedicine, COVID-19 patients can be cared for safely at home - from initial home isolation to recovery or, in case problems arise, admission to hospital. A team from the Technical University of Munich (TUM) has now successfully demonstrated this in a study involving 150 patients with risk factors for a severe progression of the disease.

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Scientists Show How AI may Spot Unseen Signs of Heart Failure

A special artificial intelligence (AI)-based computer algorithm created by Mount Sinai researchers was able to learn how to identify subtle changes in electrocardiograms (also known as ECGs or EKGs) to predict whether a patient was experiencing heart failure.

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Artificial Intelligence-Based Technology Quickly Identifies Genetic Causes of Serious Disease

An artificial intelligence (AI)-based technology rapidly diagnoses rare disorders in critically ill children with high accuracy, according to a report by scientists from University of Utah Health and Fabric Genomics, collaborators on a study led by Rady Children’s Hospital in San Diego.

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Allscripts Launches Guided Scheduling, Leveraging Artificial Intelligence to Improve Patient Care and Increase Healthcare Operational Efficiencies

Allscripts (NASDAQ MDRX) Guided Scheduling, launching in Allscripts Practice Management, is an artificial intelligence scheduling application that uses real-time provider, practice, and industry data to optimize providers' days. The system looks at key clinical and operational metrics, allowing users to appropriately schedule each patient visit.

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DigiHealthDay-2021 @ DIT-ECRI: Global Digital Health - Today, Tomorrow, and Beyond

On Friday, November 12, 2021, the second edition of the international Digital Health symposium DigiHealthDay, will be hosted by European Campus Rottal-Inn, Deggendorf Institute of Technology (DIT-ECRI). The event is endorsed and sponsored by the

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CliniSys to Provide Single Laboratory Information System for Northern Ireland

CliniSys has won a major contract to deploy a single laboratory information system across Northern Ireland as part of a modernisation programme to create a world-class pathology service for the country.

CliniSys will replace the seven IT systems used by Northern Ireland’s hospital trusts' pathology disciplines and the Northern Ireland Blood Transfusion service with the latest version of WinPath Enterprise.

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Burton Hospital to Avoid Discharge Delays with Patient Flow Technology

Healthcare professionals at Queen's Hospital Burton will be better placed to get patients home safely and as early as possible, whilst freeing up urgently needed capacity, with the help of a technology soon to be deployed.

Following the success of the ExtraMed Patient Flow solution at Royal Derby Hospital, where staff have reduced lengths of stay and enhanced care for patients,

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A Cryptography Game-Changer for Biomedical Research at Scale

Predictive, preventive, personalized and participatory medicine, known as P4, is the healthcare of the future. To both accelerate its adoption and maximize its potential, clinical data on large numbers of individuals must be efficiently shared between all stakeholders. However, data is hard to gather. It’s siloed in individual hospitals, medical practices, and clinics around the world.

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Brain Cell Differences could be Key to Learning in Humans and AI

The new study found that by tweaking the electrical properties of individual cells in simulations of brain networks, the networks learned faster than simulations with identical cells.

They also found that the networks needed fewer of the tweaked cells to get the same results, and that the method is less energy intensive than models with identical cells.

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