Exo Inc. acquired Medo Dx Pte, an artificial intelligence (AI) developer, to make its point-of-care ultrasound imaging even easier to use. Medo brings two FDA-cleared artificial intelligence algorithms that draw on a library of millions of ultrasound images and health data to expand the settings for ultrasound and the reduce the expertise required for its use. Terms of the deal were not disclosed.
Cleerly Inc. sees a bright future ahead after boosting its fundraising to date nearly five-fold with a $192 million series C. The new infusion brought the total invested in the company to $248 million, a solid endorsement of a company that hopes to transform cardiology with precision-based diagnostics that move away from indirect indicators to accurate measurements.
Helixon Ltd. raised ¥500 million (US$75 million) in a series A round for its artificial intelligence (AI) drug development platform. The Beijing-based company is building a next-generation AI computing platform by combining it with self-developed high-throughput experimental technologies, aiming to provide drug developers with an intelligent system for molecular computation, simulation and design.
Helixon Ltd. raised ¥500 million (US$75 million) in a series A round for its artificial intelligence (AI) drug development platform. The Beijing-based company is building a next-generation AI computing platform by combining it with self-developed high-throughput experimental technologies, aiming to provide drug developers with an intelligent system for molecular computation, simulation and design.
Megarobo Technologies Ltd. raised $300 million in its series C round financing to develop intelligence and automation solutions for life science companies. The financing was led by Goldman Sachs Asset Management LP, Asia Investment Capital Ltd., and GGV Capital.
Artificial intelligence (AI) and machine learning (ML) present regulators and payers alike with some interesting dilemmas, but that statement can be applied to patent offices and inventors as well. In this fifth installment in a series on AI in radiology, we’ll examine the hazards of acquiring and sustaining intellectual property protection for these algorithms, a much more complicated and complex undertaking than many developers might appreciate.
A new large-scale study has found combining artificial intelligence (AI) and radiologists to analyze breast cancer screenings can lead to better patient outcomes, when compared with unaided radiologists and the use of AI alone. The study, published in The Lancet Digital Health, evaluated the performance of an AI decision referral system developed by Vara (MX Healthcare GmbH).
Meta Pharmaceuticals Inc. has raised $15 million in seed and pre-series A rounds in six months for the pipeline and AI platform development. Shenzhen, China-based Meta Pharma plans to use the new funds to support its three candidates to enter clinical trials, as well as the development of its Meta-map platform for pipeline expansion.
The U.S. FDA may be the most advanced regulatory agency when it comes to artificial intelligence (AI) and machine learning (ML), but developers of these products still have little in the way of FDA guidance to work with in many instances. Cassie Scherer of Dublin-based Medtronic plc, told attendees at this year’s Food and Drug Law Institute annual conference that they should have a product change control protocol ready to go despite the absence of FDA guidance on the subject, an effort that will increase time to market but pay eventually big dividends.
Ibex Medical Analytics Ltd. extended the reach of its artificial intelligence (AI) powered pathology system, adding gastric cancer to existing CE mark approvals in prostate and breast cancer.
