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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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AI Analysis of Cancer Mutations may Improve Therapy

Cancer has many faces - no wonder, then, that the range of cancer-causing mutations is huge as well. The totality of such genomic alterations in an individual is what experts call a "mutational landscape." These landscapes differ from one another depending on the type of cancer. And even people suffering from the same cancer often have different mutation patterns.

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AI, Diabetes Experts Combine Forces for Blood Sugar Management Study

To help the estimated 1.45 million Americans living with type 1 diabetes better manage their blood sugar levels, Oregon Health & Science University is combining the power of an artificial intelligence-driven smartphone app with the support of human experts.

The Leona M. and Harry B. Helmsley Charitable Trust has awarded OHSU more than $4.3 million to support this work.

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Biomedical Institutions Agree on a Set of Open Science Practices to Monitor

Eighty stakeholders from twenty major biomedical research institutions across the globe have agreed upon a list of 19 open science practices to be implemented and monitored. The study, led by Dr. Kelly Cobey, Scientist and Director of the Open Science and Meta Research Program at the University of Ottawa Heart Institute, Canada, forms the basis for the future development of institutional digital dashboards that will display that institution's compliance with open science practices.

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A Blood Test for Cancer Shows Promise Thanks to Machine Learning

A team of researchers at the University of Wisconsin­-Madison has successfully combined genomics with machine learning in the quest to develop accessible tests that allow earlier detection of cancer.

For many types of cancer, early detection can lead to better outcomes for patients. While scientists are developing new blood tests that analyze DNA to aid in earlier detection, these new technologies have limitations, including cost and sensitivity.

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Bayer Acquires Blackford Analysis Ltd. Bolstering the Company's Position in Digital Medical Imaging

Bayer announced the acquisition of the global strategic imaging AI platform and solutions provider Blackford Analysis Ltd. The acquisition is part of Bayer's strategy to drive innovation in radiology, including the development and adoption of AI within the clinical workflow, with the goal to ultimately improve patient care and advance Bayer’s position in digital medical imaging.

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