In the “The World for Asia, Asia for the World” panel discussion at the virtual Wuxi Healthcare Forum, investors and executives took note of the region’s digital capabilities for reducing R&D costs and timelines, while also calling for more harmonization on the regulatory front to empower R&D in Asia.
New funding to the tune of $8 million in series B investment moves Oncohost Ltd. a good bit closer to bringing its personalized immunotherapy prediction platform to market and key operations to the U.S.
HONG KONG – New approaches to trials, digitalization and the effective use of advance technologies like artificial intelligence are reshaping how clinical trials are conducted, drugs are discovered, and new devices are developed, said participants at the Asia-focused Phar-East 2020 conference on Dec. 8.
LONDON – Retinai Medicine AG reported a three-year master agreement with Novartis AG to apply its artificial intelligence (AI) tools in ophthalmology clinical trials. The first project will look at how machine learning can be used to speed up and improve the interpretation of optical coherence tomography (OCT) images of patients with neovascular age-related macular degeneration (AMD).
LONDON – The Google artificial intelligence company Deepmind has developed an algorithm that can predict the 3D structure of a protein from its amino acid sequence, making it possible to solve the structures of proteins, such as G-protein coupled receptors (GPCRs), which are a mainstay of drug targeting but whose structure is challenging to determine with current methods.
LONDON – The U.K.’s influential health technology assessment body, the National Institute of Health and Care Excellence (NICE), is consulting stakeholders on proposed changes to how it selects medical devices, diagnostics and drugs for evaluation.
The pace at which companies are integrating the sophisticated tools of artificial intelligence (AI) and machine learning (ML) into their early stage drug discovery and development programs is accelerating, as evidenced by the creation of new dedicated AI-focused biopharma companies and the eagerness of drug developers to partner with AI firms. A panel at the BIO Investment Forum delved into the impact of AI on the sector and its ability to assist scientists in uncovering the intricacies of disease mechanisms and lead them toward novel drug targets.
PERTH, Australia – During the COVID-19 pandemic, 90% of Australia’s clinical trials were put on hold, and the market cap of biotech and medical device companies on the Australian Securities Exchange dropped 5% to AU$11 billion (US$7.78 billion), according to a recent report by Australia’s Medical Technologies and Pharmaceuticals Industry Growth Centre.
Tracking the pandemic in all its manifestations – from symptoms and spread, to viral genomics and repurposing drugs – has massively increased appreciation of the importance of real world data, with significant implications for the future of drug discovery and clinical development, the use of patient data and health care as a whole.
As with many conferences, the Cleveland Clinic’s 2020 Medical Innovation Summit went virtual this year. Still, the event featured the hotly anticipated top 10 list of innovations for 2021 that saw a range of therapies. Ranked in order of expected importance, the list was led by gene therapy for hemoglobinopathies. The top three innovations, including a novel drug for primary-progressive multiple sclerosis and smartphone-connected pacemaker devices, were highlighted in a special presentation.