Oral cancer is a growing public health concern, particularly in South Asia, where it affects tens of thousands each year. In India alone, oral cancer accounts for 40% of all cancers, largely driven by the widespread use of tobacco-based products like gutka.

A research team at RCSI University of Medicine and Health Sciences has developed a 3D printed implant to deliver electrical stimulation to injured areas of the spinal cord, offering a potential new route to repair nerve damage. Details of the 3D-printed implant and how it performs in lab experiments have been published in the journal Advanced Science.

UBC Okanagan researchers have developed a 3D bio-printed model that closely mimics the complexity of natural lung tissue, an innovation that could transform how scientists study lung disease and develop new treatments.

As cancer cases have increased worldwide, the disease has become more complex, presenting challenges to scientific advances in diagnosis and treatment. In this context, artificial intelligence (AI) has emerged as a valuable tool for predicting and detecting cases.

Researchers at the University of Colorado Anschutz Medical Campus have discovered that amniotic fluid stem cells can be safely collected from vaginal fluid after childbirth rather than relying on more invasive methods that can pose some risk to the mother and fetus.

Genetic changes can signal evidence of disease, but pinpointing which genes and what’s changed can be difficult.

Ultrasound (US) imaging is a widely employed diagnostic tool used for real-time imaging of various organs and tissues using ultrasonic sound waves. The waves are sent into the body, and images are created based on how the waves reflect off internal tissues and organs. It is used for guiding many medical procedures, including biopsies and injections, and is important for dynamic monitoring of blood vessels.

Recently, researchers from Prof. Eran Segal’s laboratory at the Weizmann Institute of Science have harnessed artificial intelligence to create a personalized “digital twin” that allows them to detect a risk of developing diseases, initiate preventive treatment and even run simulations to predict which treatment will be most effective.