The next wave of drug discovery is being enabled by artificial intelligence (AI). This fact has not been lost on investors, who are keeping a close watch on emerging biopharma companies that are using AI and machine learning to enable the discovery of next-generation medicines.
For biopharma, 2019 can be described as a terrific year – with a few asterisks. The financial markets were flourishing, with venture capital dollars, in particular, flowing to the sector, while dealmaking reached historic proportions. Meanwhile, scientific breakthroughs led the way as cell and gene therapies gained ground, the first signs of success emerged with new technologies like CRISPR and the long-awaited promise of genomics found its way to the front lines of health care.
Machine learning and artificial intelligence (AI) are already being actively used in drug discovery to evaluate potential binding of small-molecule drugs to proteins, but there's potential for the technologies to be used on the development side as well, especially in hard-to-treat diseases such as Alzheimer's disease.
Caresyntax GmbH, a Berlin-based provider of surgical automation, analytics and AI software technologies, picked up $45.6 million in venture funding. The funds will be used to accelerate U.S. and global expansion and support continued development and deployment of Caresyntax products. Participating in the financing were Whiz Partners, a Takeda-back drug discovery gateway investment limited partnership, Plug and Play Tech Center, Barco Healthcare, Mitsubishi Corp., Relyens, IPF Partners and Caresyntax founders Dennis Kogan and Bjoern von Siemens.
HONG KONG – SK Holdings Co. Ltd. invested ₩10 billion (US$8.6 million) in Standigm Inc., an artificial intelligence (AI)-powered biotech company based in Seoul, Korea. It is the second big investment Standigm has attracted this year after a ₩13 billion series B round in March.
HONG KONG – SK Holdings Co. Ltd. invested KRW10 billion (US$8.6 million) in Standigm Inc., an artificial intelligence (AI)-powered biotech company based in Seoul, Korea. It is the second big investment Standigm has attracted this year after a KRW13 billion series B round in March.
A neuropsychologist consult is typically the first step for a neurologist in aiding in the diagnosis and monitoring of neurological conditions. But timely appointments for an assessment by these specialists can be difficult to obtain, even under the best of circumstances. To better enable neurologists to assess which patients are most in need of a consultation with a neuropsychologist, Royal Philips NV has launched an artificial intelligence (AI)-based cognitive assessment tool in the U.S. Known as Philips Intellispace Cognition, the digital, cloud-based assessment tool takes established neuropsychological tests and enables their administration by a medical assistant via a tablet in an office setting.
HONG KONG – South Korean AI-based biotech Azoth Bio Inc., of Seongnam, Gyeonggi-do, and biopharmaceutical venture Wellmarker Bio Co. Ltd., based in Seoul, have signed a memorandum of understanding for cancer drug R&D and commercialization. Under the agreement, the two entities will use Azoth's AI-powered platform to develop Wellmarker's cancer treatment candidates.
Deciding which patients should go into the intensive care unit (ICU) after surgery is a difficult call and typically made entirely at the surgeon's discretion. The result is that surgeons typically err on the side of caution by putting more post-operative patients in the ICU than necessary. To aid in better ICU decision-making, physicians at New York University Langone Hospital System (NYU Langone) developed a machine learning algorithm that combs through a patient's electronic medical record to identify relevant factors to determine if they needed the ICU after surgery.
Radiologists review thousands of images a day. The hope is that artificial intelligence (AI) applications will become useful soon to verify diagnoses, prioritize queued images and even to offer a level of detection and measurement that aren't feasible for humans. One of the latest efforts on this front is by researchers at the University of California at San Francisco (UCSF) and the University of California at Berkeley.