Development

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.

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.

For Shared Decision-Making, Telemedicine may be as Effective as in-Person Appointments

Telemedicine may be just as effective as in-person visits when it comes to shared decision-making and communication for patients undergoing a first-time surgery consultation, according to a study published as an "article in press" in the Journal of the American College of Surgeons (JACS) and presented at the Southern Surgical Association 134th Annual Meeting in December 2022.

220M€ Investment in Testing and Experimentation Facilities to Boost the Uptake of Artificial Intelligence (AI) and Robotics in Europe

To make the EU the place where AI excellence thrives from the lab to the market, the European Union is setting up world-class Testing and Experimentation Facilities (TEFs) for AI.

Together with Member States, the Commission is co-funding the TEFs to support AI developers to bring trustworthy AI to the market more efficiently, and facilitate its uptake in Europe.

AI Tool Developed to Predict Risk of Lung Cancer

Lung cancer is the leading cause of cancer death in the United States and around the world. Low-dose chest computed tomography (LDCT) is recommended to screen people between 50 and 80 years of age with a significant history of smoking, or who currently smoke. Lung cancer screening with LDCT has been shown to reduce death from lung cancer by up to 24 percent.

Artificial Nerve Cells - Almost Like Biological

Researchers at Linköping University (LiU), Sweden, have created an artificial organic neuron that closely mimics the characteristics of biological nerve cells. This artificial neuron can stimulate natural nerves, making it a promising technology for various medical treatments in the future.

New Computer Program 'Learns' to Identify Mosaic Mutations that Cause Disease

Genetic mutations cause hundreds of unsolved and untreatable disorders. Among them, DNA mutations in a small percentage of cells, called mosaic mutations, are extremely difficult to detect because they exist in a tiny percentage of the cells.

Current DNA mutation software detectors, while scanning the 3 billion bases of the human genome, are not well suited to discern mosaic mutations hiding among normal DNA sequences.

Research and Development News

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

A Blood Test for Cancer Shows Promise Thanks to Machine Learning

For Shared Decision-Making, Telemedicine may be as Effective as in-Person Appointments

220M€ Investment in Testing and Experimentation Facilities to Boost the Uptake of Artificial Intelligence (AI) and Robotics in Europe

AI Tool Developed to Predict Risk of Lung Cancer

Artificial Nerve Cells - Almost Like Biological

New Computer Program 'Learns' to Identify Mosaic Mutations that Cause Disease

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