Finding an effective medication for patients with major depressive disorder is notoriously difficult, with 70% of patients failing to respond to the first drug prescribed and 30% not responding to the first four medications. Complicating matters, genetic mutations can increase psychotropic drug-related adverse events, including hospitalizations. A recent study indicates Myriad Genetics Inc.’s Genesight test can help minimize the risk of these negative events, with a reduction of nearly 40% in psychiatric-related hospitalizations and prescription of medications with significant gene-drug interactions.
Reflexion Medical Inc. entered into a nonexclusive worldwide licensing agreement with Mirada Medical Ltd., allowing Mirada’s Redengine image registration algorithms to be integrated into Reflexion’s X1 treatment planning software. The algorithms align a patient’s anatomy between distinct imaging modalities or between radiotherapy treatments.
As a counterpoint to the raft of wellness-promoting smartwatches, Purdue University and Physiq Inc. have developed a smartwatch algorithm that flags illness. A year after launching their co-development program, the two organizations reported they have created an algorithm designed for smartwatches that enables detection of early signs of infection. The algorithm is already in use in a number of Physiq’s customers’ applications, Physiq Chief Scientific Officer Stephan Wegerich told BioWorld.
The U.S. Federal Trade Commission (FTC) has taken a more assertive stance regarding enforcement of several considerations, most conspicuously about mergers and acquisitions. However, the agency’s push for less cumbersome processes has now been applied to a host of considerations pertinent to the life sciences, including bias found in artificial intelligence algorithms, abuse of drug patents, and repairs for medical equipment, a signal that more frequent and more rapid FTC enforcement is on the near horizon.
The question of whether an artificial intelligence (AI) algorithm can be an inventor has been making the rounds in the past couple of years, and the question came up again in the U.S. District Court for the Eastern District of Virginia. Stephen Thaler, who developed the Device for the Autonomous Bootstrapping of Unified Sentience (DABUS) algorithm that has been credited with two inventions, failed to persuade the court that an algorithm qualifies as an “individual,” and thus patents must still be assigned to humans, at least where the U.S. Patent and Trademark Office is concerned.
TORONTO – Opsens Inc. has inked an agreement with Madrid, Spain’s Cathmedical Cardiovascular SA to integrate its coronary physiology algorithms with the Spanish firm’s next generation hemodynamic system, notably Opsens’ diastolic pressure ratio (DPR) for measuring diastolic heart pressure.
The authors of a recent journal article see problems with the FDA’s approach to premarket review of artificial intelligence (AI) algorithms, including an undue reliance on single-site algorithm development. Regulatory attorney Brad Thompson told BioWorld, however, that hospital administrators want algorithms that maximize accuracy for their populations and are not averse to in-house development of just such an algorithm, thus creating a source of tension between what hospitals want and what the FDA expects.
The COVID-19 pandemic has affected wide swaths of the global economy, mostly in a negative manner, but it has spurred some types of innovation at a rate that would be unimaginable in ordinary times. That seems to be the take-away for an emergency use authorization (EUA) granted to Miami-based Tiger Tech Solutions Inc. for its COVID Plus monitor, which uses plethysmography and a machine learning algorithm to provide a screening mechanism at mass gatherings, thus bringing the world one step closer to a state of normalcy.
MIT Media Labs spinoff Empatica Inc. secured the CE mark for its Aura system, a wearable solution for the monitoring and early alert of respiratory infections, including COVID-19. For use with people 14 and older, Aura is commercially available in Europe and the U.K., and for pilot purposes in the U.S. – pending FDA authorization. Aura’s algorithm analyzes vital signs from Empatica smartwatches, comparing data against the wearer’s historical baselines. In validation studies, Aura was able to detect patients with possible H1N1 influenza, rhinovirus or SARS-CoV-2 infection with 0.94 sensitivity. Detection occurred on average two days after infection.
The U.S. FDA cleared Alivecor Inc.'s Kardia AI V2 interpretive electrocardiogram (ECG) algorithm for use in its personal ECG app and devices. Currently, the Kardia line permits consumers to take a 30-second medical grade ECG at home and instantly see whether they are exhibiting symptoms of atrial fibrillation, bradycardia, tachycardia or have normal heart rhythm.