The effort of several years is required in the pharmaceutical industry to make medicines that have the potential to treat or cure human disease.
At the University of Colorado Boulder, an engineer’s group has developed a new class of small and self-propelled robots that has the potential to zip via liquid at unbelievable speeds—and might one day even provide prescription drugs to hard-to-reach places within the human body.
Researchers from Iceland used artificial intelligence to develop a machine-learning model to evaluate patients with respiratory symptoms before they visited a primary care clinic.
The lengthy and complicated process of drug discovery and development, with its often lack of return on investment, has long been a challenge to scientists.
Technological solutions could assist in decreasing waitlists and disparities in access to therapy having sparse clinical resources that are incapable to keep pace with high rates of mental illness.
The characteristics of speech among patients with Parkinson’s disease (PD) were assessed by a research group. This was done using artificial intelligence (AI) to process natural language.
Automated robot-guided surgery and minimally invasive surgery are possibly to be executed under extreme conditions, which need new requirements on intraoperative information acquisition abilities.
An algorithm built with the use of AI could soon be utilized by doctors to detect heart attacks with improved accuracy and speed than ever before, as per a new study from the University of Edinburgh, financially supported by British Heart Foundation and the National Institute for Health and Care Research, and published in the journal Nature Medicine.
The specialty of Stephanie Lacour is the development of adaptable electrodes that has the potential to adjust to a moving body. This offers highly trustworthy connections with the nervous system. Her work is naturally interdisciplinary.
A new study has reported that robotic-arm assisted unicompartmental knee arthroplasty (UKA) offers good long-term results along with implant survival and patient satisfaction rates surpassing 90% at 10 years follow-up.