Researchers developed a new method using light to analyze crystals in dry blood samples to detect prostate cancer early. The scientists employed a polarization-based image reconstruction technique which demonstrated an accuracy rate of more than 90% in both the early diagnosis and classification of cancer.
Shares of Chinese and South Korean med-tech companies continued to rise after the World Health Organization declared mpox a public health emergency of international concern Aug. 14 after recent outbreaks.
Quantamatrix Inc. is advancing an Ultra-Rapid Antimicrobial Susceptibility Testing sepsis diagnostic test, touted as having the world’s fastest all-in-one antimicrobial technology, to reduce sepsis diagnosis time from days to an average of 13 hours.
A new brain-computer interface (BCI) developed at UC Davis Health is able to translate brain signals into speech with up to 97% accuracy – the most accurate system of its kind.
Cresilon Inc. secured U.S. FDA clearance for Traumagel, a hydrogel that stops potentially life-threatening bleeding in seconds. Cresilon designed the product for use by the U.S. military, first responders and medical professionals to swiftly and effectively stop bleeding from traumatic wounds
An implanted deep brain stimulator that calibrates its electrical pulses based on changes in brain activity reduced patients’ most bothersome symptoms of Parkinson’s disease 50%, a small feasibility study published in Nature Medicine found.
Icecure Medical Ltd.’s Prosense system demonstrated a 100% success rate in destroying breast cancer tumors that were less than or equal to 25 millimeters, according to a study published in the British Journal of Radiology.
The first patenting from Hemeo BV describes its development of Vantage, an artificial intelligence powered clinical decision support software for coagulation management.
In response to the continuing opioid epidemic, researchers at the Massachusetts Institute of Technology and Brigham and Women’s Hospital developed a small implantable device that monitors heart rate, respiration and other vital signs indicative of an overdose, then automatically releases a dose of naloxone.
An artificial intelligence algorithm developed at Sheba Medical Center in Israel can identify patients at high risk of pulmonary embolism as soon as they walk through the hospital doors, a study published in the Journal of Medical Internet Research found. Using only information available from the patient’s medical history, the machine learning tool flagged high-risk patients before the initial clinical checkup occurred.