health

Earth planet in hourglass, Global warming concept

Science communication about climate change – what have we learned so far?

Interview on climate change with Dr Debbie Rosen, CONSTRAIN project. The EU-funded CONSTRAIN project is a consortium of 14 European partners tasked with developing a better understanding of the climate system and using this to improve global and regional climate projections for the next 20-50 years. We spoke with the project’s science and policy manager ...

Trust Science letter tiles on colorful background

Lara Clements interview: How has Covid-19 affected people’s trust in science?

Exclusive interview: Lara Clements on the latest Wellcome Global Monitor report, the world's largest study into how people think and feel about science.

Woman with face mask using facial recognition AI system, artificial Intelligence . Biometric scanning Face ID facial mask

Prof. Karim Lekadir: Applications, risks, ethical and societal impacts of AI in healthcare

Interview with Prof. Karim Lekadir, Director of the 'Artificial Intelligence in Medicine Lab' at the Universitat de Barcelona (BCN-AIM). He co-authored a study for the European Parliament's Panel on the Future of Science and Technology (STOA) entitled 'Artificial Intelligence in healthcare: Applications, risks, ethical and societal impacts' which he will present on 11 February 2022 ...

Raffael Kalisch interview, Conona Virus news headlines

Using technology to cope with stress-related mental health problems

Interview with Raffael Kalisch An EU-funded research project, DynaMORE, has been developing an app that helps the user to prevent, or quickly recover from stress-related mental health problems. We speak with project coordinator and professor for Human Neuroimaging Raffael Kalisch of the Johannes Gutenberg University Medical Center, Mainz. With his team, he generated and validated ...

Hugo Aerts, Artificial intelligence in smart healthcare hospital technology concept. Doctor point pen to AI biomedical screen, machine learning detect brain cancer cell

A scientist’s opinion: Interview with Professor Hugo Aerts on AI in medical imaging

Interview with Hugo Aerts, professor of AI in medicine at Maastricht University (Netherlands). He is also director of the AI in medicine (AIM) program at Harvard University and Mass General Brigham in Boston (USA). You received a EUR 2 million European Research Council grant for the project ‘Deep Learning for Automated Quantification of Radiographic Tumor ...

Regina Barzilay, Artificial intelligence in smart healthcare hospital technology concept. Doctor point pen to AI biomedical screen, machine learning detect brain cancer cell

A scientist’s opinion: Interview with Professor Regina Barzilay on AI in medical imaging

Interview with Regina Barzilay, distinguished professor for AI and Health at MIT (USA). She is also an AI faculty lead for Jameel Clinic, an MIT center for Machine Learning in Health. What is your view on the future of artificial intelligence in medical imaging for the next 10 years? Regina Barzilay: Many of today’s successful applications ...

Doctor checking brain testing result with robotics on virtual interface on laboratory background, innovative technology in science and medicine concept

Making the medical imaging pipeline smarter

An interview with Prof. Dr Daniel Rückert, Alexander von Humboldt Professor for Artificial Intelligence in Medicine and Healthcare at the Technical University of Munich (Germany). In 2020, he received a EUR 2.5 million European Research Council (ERC) grant for the five-year project ‘Deep Learning for Medical Imaging: Learning Clinically Useful Information from Images’, which runs ...

INCISIVE, Doctor checking brain testing result with robotics on virtual interface on laboratory background, innovative technology in science and medicine concept

EU project : INCISIVE

A Multimodal AI-based Toolbox and an Interoperable Health Imaging Repository for the Empowerment of Imaging Analysis related to the Diagnosis, Prediction and Follow-up of Cancer INCISIVE is a 42-month project that aims at exploring the potential of novel AI tools for enhancing current imaging solutions for cancer cases. INCISIVE addresses challenges related to the detection ...