Sonio SAS closed its series A fundraising round raising $14 million that will go some way in helping the company deliver on its mission to improve access to quality pregnancy monitoring for women everywhere through its software-as-a-service (SaaS) platform. Sonio has developed an artificial intelligence (AI) prenatal screening solution that automates ultrasound reporting while providing image quality control and detection of potential anomalies. The capital raise was led by Cross-Border Impact Ventures, a North American impact fund dedicated to the health of women and children.
Device makers are often cited in U.S. FDA warning letters for making claims not seen in the approved labeling, but the authors of a recent review of artificial intelligence (AI) products cleared by the FDA suggest that FDA documents and marketing materials should disclose the presence of AI in these products. The authors of an article in the Journal of the American Medical Association said that only about 80.6% of the products were represented with accurate statements about the presence of AI, although FDA regulation does not require that marketing materials make such disclosures.
Thirona BV has been awarded $2.73 million in funding from the European Innovation Council (EIC) to fast-track the development of its artificial intelligence (AI)-based lung platform to analyze chest CT imaging. In competition with 554 other submissions, Thirona was one of 51 innovative technology companies awarded the EIC accelerator program grant, the total budget for which is €261 million (US$286.28 million) in 2023.
Conformis Inc. has inked a definitive agreement to be acquired by Restor3d Inc., in a move that could potentially create a formidable presence in the personalized orthopedics space. Under the agreement, Restor3d will acquire all outstanding shares of Conformis common stock (NYSE:CFMS) at $2.27 per share in cash. The purchase price represents a roughly 96% premium to Conformis’ closing price on June 22, 2023.
The U.K. government created a new £21 million ($US26.55 million) fund to accelerate the roll out of artificial intelligence (AI) diagnostics and treatment tools across the NHS. The AI Diagnostic Fund will enable hospitals to bid for funding to speed up the deployment of the most promising AI imaging and decision support tools to help patients with cancers, strokes and heart conditions.
Gleamer SAS reported closing a series B round of $29.6 million to help expand its portfolio of artificial intelligence (AI) systems for radiologists and ramp international expansion. The exercise was led by Supernova Invest SAS who put up $11 million, joined by Heal Capital SAS with $5.5 million.
Difficulty in obtaining an accurate diagnosis and treatment for endometriosis leaves many women spitting mad, but they may soon find that saliva is the key to escaping the diagnostic maze. A recent study published in the New England Journal of Medicine validated the Endotest developed by Ziwig SAS based on results from a study involving 200 symptomatic patients monitored in five hospital units and specialized centers in France since November 2021. The findings demonstrateda sensitivity and specificity of more than 95%.
Stephanix SAS and Incepto Medical SAS reported signing a strategic partnership at the annual congress of the French association for female medical imaging (SIFEM) in Bordeaux. The companies are joining forces by way of a distribution agreement to improve the medical imaging available in France.
Anumana Inc. has garnered a U.S. FDA breakthrough device designation for its artificial intelligence (AI)-powered electrocardiogram-based algorithm for early identification of cardiac amyloidosis. The ECG-AI detection algorithm is the fourth from the company and its partners to notch breakthrough status.
Artificial intelligence (AI) faces a number of interesting hurdles in the EU, such as the still-developing Artificial Intelligence Act (AI Act), which seems destined to treat health care uses as high-risk propositions. Corinne Dive-Reclus, director of global lab insights at Roche Diagnostics, said there are possible solutions, such as overwriting the AI Act’s risk classifications with the risk category provided by existing regulations, but there is an open question as to whether a fix will be in place to prevent a potentially disastrous risk framework for AI in health care.