Science

Europe and Japan push supercomputing boundaries

From predicting climate change to developing new medicines, supercomputers underpin modern science. Europe and Japan are now working together to make them even more powerful and reliable Stepping inside a supercomputer facility is usually an overwhelming experience. These vast machines contain hundreds of thousands of processors working together to perform calculations far beyond the reach of…
Can AI master every subject known to man?

Can AI master every subject known to man?

Experts predict how close AI is to passing the hardest test in the world Can you provide a translation of an ancient Palmyrene script found on a Roman tombstone? How many paired tendons are supported by a particular sesamoid bone in a hummingbird? These are just two of the many varied and challenging questions submitted…
Egypt joins Horizon Europe programme, strengthening EU research and innovation ties

Egypt joins Horizon Europe programme, strengthening EU research and innovation ties

Has officially become the second African nation to join the Horizon Europe programme, marking a historic step forward in the country’s research and innovation ambitions The agreement, signed during the EU–Egypt Summit in Brussels, opens new opportunities for Egyptian researchers, universities, and innovators to collaborate with their European counterparts via Horizon Europe on equal footing with…
Respaldo a la investigación pionera, desde la lucha contra la enfermedad de Parkinson al desarrollo de plantas resistentes a la sequía

Supporting pioneering research, from fighting Parkinson’s disease to developing drought-resistant plants

For over 40 years, the European Union has supported cutting-edge science, research and innovation. By driving scientific progress, the EU R&I programme helps to tackle some of the most important challenges facing Europe, from cancer to climate change. This CORDIS Results Pack on Horizon in Denmark highlights the impact of EU funding in fostering scientific…
15_smarthealth

Machine Learning Predicts Which Breast Cancer Patients Need Surgery

The machine learning tool could help breast cancer patients avoid unnecessary treatment and reduce healthcare costs A machine learning algorithm can analyze medical images and predict which breast cancer patients need surgery, revealed a study published in the American Journal of Physiology – Cell Physiology. Ductal carcinoma in situ (DCIS) of the breast – also…
01_smarthealth

Big Data Powers Design of ‘Smart’ Cell Therapies for Cancer

To program these instructions into T cells, they used a system known as synNotch, a customizable molecular sensor that allows synthetic biologists to fine-tune the programming of cells Finding medicines that can kill cancer cells while leaving normal tissue unscathed is a Holy Grail of oncology research. In two new papers, scientists at UC San…
23_agrosmart

BlockApps Launches Agribusiness Blockchain Network ‘TraceHarvest’ Following Success with Bayer

BlockApps’ Ethereum-based TraceHarvest Network enhances food quality, safety and sustainability by bringing supply chain efficiencies, transparency, compliance and stewardship to agricultural products BlockApps, the leading enterprise blockchain platform provider, today announced the launch of the TraceHarvest Network which is transforming the way agricultural products are managed. The new blockchain-powered business network was developed in collaboration…
16_smarthealth

Central Hospital in Finland Automates Symptom Tracking of Coronavirus-Infected Patients’ with Help of an App

The mobile application and remote patient monitoring dashboard bring peace of mind to the patients as they know that their well-being and symptoms are being monitored every day This November Central Ostrobothnia Central Hospital in Finland has started symptom tracking and remote monitoring of corona virus-infected patients with the Buddy Healthcare mobile application and clinical…

Latest News