Philips and TriHealth Announce Multi-Year Partnership at Heart of New TriHealth Heart & Vascular Institute on the Campus of Bethesda North Hospital

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, has entered into a long-term strategic partnership with TriHealth, a leading Cincinnati-based integrated healthcare delivery system, to adopt Philips' integrated portfolio of cardiology solutions for its new TriHealth Heart & Vascular Institute on the campus of Bethesda North Hospital and the Harold and Eugenia Thomas Comprehensive Care Center.

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Insilico Medicine Receives FDA Orphan Drug Designation for Generative AI Discovered and Designed Drug for Idiopathic Pulmonary Fibrosis

Insilico Medicine ("Insilico"), a clinical-stage end-to-end generative artificial intelligence (AI)-driven drug discovery company, today announced that the U.S. Food and Drug Administration (FDA) has granted Orphan Drug Designation to INS018_055 for the treatment of Idiopathic Pulmonary Fibrosis (IPF).

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Smartphone App may Help Identify Stroke Symptoms as they Occur

A new smartphone application called FAST.AI may help people who are having a stroke or their family and caregivers recognize common stroke symptoms in real time, prompting them to quickly call 9-1-1, according to preliminary research to be presented at the American Stroke Association's International Stroke Conference 2023.

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AI-Automated MRI Planning Solution Launched to Beat Waiting-List Backlogs & Support Efficient UK Community Diagnostic Strategies

A new Artificial Intelligence (AI) innovation to help speed up MRI scanning planning time and alleviate pressure on radiology services has been launched into the UK by Canon Medical Systems. Auto Scan Assist utilises Deep Learning and Machine Learning to enhance diagnostic imaging of liver, prostate, and whole-spine examinations to achieve greater efficiencies in delivering patient services.

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Sussex Researchers use AI to Personalise Cancer Patient Treatments

Researchers at the University of Sussex are using Artificial Intelligence (AI) technology to analyse different types of cancer cells to understand different gene dependencies, and to identify genes that are critical to a cell's survival. Sussex researchers have done this by developing a prediction algorithm that works out which genes are essential in the cell, by analysing the genetic changes in the tumour.

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Open Call HORIZON-HLTH-2023-IND-06-07: Development and Harmonisation of Methodologies for Assessing Digital Health Technologies in Europe

This topic aims at addressing digital transition challenges through supporting activities that are enabling or contributing to one or several expected impacts of destination 6 "Maintaining an innovative, sustainable and globally competitive health industry". More specifically, this topic aims at supporting activities that are contributing to the following impact area: "High quality digital services for all".

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AI Aids Discovery of Super Tight-Binding Antibodies

Scientists at University of California San Diego School of Medicine have developed an artificial intelligence (AI)-based strategy for discovering high-affinity antibody drugs.

In the study, published January 28, 2023 in Nature Communications, researchers used the approach to identify a new antibody that binds a major cancer target 17-fold tighter than an existing antibody drug.

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DMEA 2023: Digital Health Live in Berlin

25 - 27 April 2023, Berlin, Germany.
From 25 to 27 April 2023 on the Berlin Exhibition Grounds, the focus will be on digitalisation in the healthcare sector, with topics ranging from digitalisation strategies for the healthcare sector and nursing, to consumer health and data protection in inpatient facilities as well as interoperability.

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AI can Help Patients Interpret Home Tests for COVID-19

New machine learning research led by Professor Farrokh Alemi and Professor Janusz Wojtusiak provides a way for patients and clinicians to better predict whether symptoms are due to COVID-19, influenza, or RSV. A more accurate diagnosis leads to better decisions on course of care to heal patients and prevent the disease from spreading.

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SAE Media Group Proudly Presents the 4th Annual AI in Drug Discovery Conference

13 - 14 March 2023, London, UK.
SAE Media Group is proud to present its 4th Annual AI in Drug Discovery Conference, taking place from 13 - 14 March 2023 in London, UK.

With the recent pandemic highlighting the need for rapid drug discovery, AI has become an area of increased interest. This is driven by the ability to discover drugs through the use of machine and deep learning.

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