A new machine learning model will help scientists identify small molecules, with applications in medicine, drug discovery and environmental chemistry. Developed by researchers at Aalto University and the University of Luxembourg, the model was trained with data from dozens of laboratories to become one of the most accurate tools for identifying small molecules.

If we can slow down the pace of the aging process, more elderly people will be able to stay healthy. More people may then enjoy good health in their old age than what is the case today. A new study shows that it may be possible to achieve just that.

Researchers at the Karolinska Institutet in Sweden have developed a new type of treatment that is expected to provide a lasting treatment response against both the hepatitis B and D viruses which are major causes of liver cancer.

Inadequate pollination has led to a three to five percent loss of fruit, vegetable, and nut production and an estimated 427,000 excess deaths annually from lost healthy food consumption and associated diseases, according to research led by Harvard T.H. Chan School of Public Health.

Researchers found that men who consumed high rates of ultra-processed foods were at higher risk for developing colorectal cancer than those who did not. They did not find the same association in women.

Tosoh’s 2.5D Cell Culture System is capable of simplifying the culturing of large quantities of uniformly sized cell masses by making use of an adhesion area to which only uniform spherical cells attach. The system proves beneficial for the purpose of drug discovery as well as regenerative medicine.

Researchers at the Brigham and Women’s Hospital have developed a deep learning algorithm which can identify lung cancer tumors on a computed tomography scan within seconds. This will help radiation oncologists to work quickly and achieve greater consistency in segmenting tumors.

Doctors often advise patients undergoing muscle pain associated with the intake of statins to take vitamin D supplements, however, a new study by scientists at the Northwestern University, Harvard University and Stanford University have revealed that the supplements do not help to improve the patients’ problem.

Researchers have developed a new ultrasensitive biosensor which has the potential to detect minute amounts of tumor-derived materials, such as nucleic acids, proteins and lipids. Molecular profiles are then generated for each sample and analyzed to detect a brain tumor and define its type, as well as predict its location within the brain.

Researchers at the University of Bern and Inselspital have collaborated to provide an insight into the latest precision oncology technologies. To use these innovative technologies in the clinic is still a major hurdle as it still needs to be standardized and will also require new infrastructures in the clinics.