Estimated to become the second leading cause of cancer deaths in the U.S. by 2030, pancreatic cancer has a grim prognosis with nearly 70% of patients facing mortality within the first year of diagnosis. Unfortunately, 40% of small pancreatic cancers elude detection on CT scans until they've advanced to an incurable stage.

Scientists at the UCL Institute for Neurology have developed new tools, based on AI language models, that can characterise subtle signatures in the speech of patients diagnosed with schizophrenia.

The research, published in PNAS, aims to understand how the automated analysis of language could help doctors and scientists diagnose and assess psychiatric conditions.

Creating artificial life is a recurring theme in both science and popular literature, where it conjures images of creeping slime creatures with malevolent intentions or super-cute designer pets. At the same time, the question arises: What role should artificial life play in our environment here on Earth, where all life forms are created by nature and have their own place and purpose?

A machine learning model equipped with only data on people's age, smoking duration and the number of cigarettes smoked per day can predict lung cancer risk and identify who needs lung cancer screening, according to a new study publishing October 3rd in the open access journal PLOS Medicine by Thomas Callender of University College London, UK, and colleagues.

To discover new treatments for genetic disorders, scientists need a thorough knowledge of prior literature to determine the best gene/protein targets and the most promising drugs to test. However, biomedical literature is growing at an explosive rate and often contains conflicting information, making it increasingly time-consuming for researchers to conduct a complete and thorough review.

A device has been created that could carry out Clinical Breast Examinations (CBE).

The manipulator, designed by a team at the University of Bristol and based at the Bristol Robotics Laboratory, is able to apply very specific forces over a range similar to forces used by human examiners and can detect lumps using sensor technology at larger depths than before.

The Premier Digital Health Event of 2023 is about to unfold. Mark your calendars for November 9th and 10th as the fourth edition of the DigiHealthDay unveils. This prominent event is hosted by the Deggendorf Institute of Technology - European Campus Rottal-Inn (DIT-ECRI) in collaboration with their dedicated PARTNERS and SPONSORS.