While legacy pharma companies battle in court with government agencies over how to address the costs that result from antiquated drug development paradigms, a growing cadre of compute-enabled life science companies are unlocking the nascent power of next-generation compute technologies to transform drug discovery and development.
A drug development approach that makes use of hybrid AI can de-risk drug development while simultaneously removing other barriers to success. In other words, it has the power to significantly reduce the drug development timeline, and ultimately, save more lives.
Munck Wilson Mandala Partner Greg Howison shared his perspective on some of the legal ramifications around AI, IP, connected devices and the data they generate, in response to emailed questions.
Genesis Therapeutics recently joined the growing list of AI-powered drug discovery startups receiving venture funding this year. The company closed a $200 million Series B financing round, taking its total funding to date to more than $280 million.
Human tissues, coupled with AI that can deal with terabytes of data will blow mice models out of the water. With animal testing requirements finally removed, the pharma industry and its constituents can hope for faster innovation.
Traditionally, pharmaceutical companies have been slow to adopt these newer technologies, instead relying on well-established and proven - but usually complex - manufacturing processes. However, the time to begin investing in – and exploring - AI, machine learning, and big data is now.
BioNTech says its InstaDeep acquisition will help it expand its use of artificial intelligence in drug discovery and development. The startup specializes in a type of machine learning called reinforcement learning.
At the Abarca Forward conference earlier this year, George Van Antwerp, managing director at Deloitte, discussed how social determinants of health and a personalized member experience can improve medication adherence and health outcomes.
Sanofi will use Insilico Medicine’s tech to advance drug development candidates for up to six new targets. Disease indications were not disclosed, but the pharmaceutical giant said the new agreement will boost its drug discovery research in China.
Nested Therapeutics uses computational techniques to map mutations and protein structures, identifying previously unseen places where a cancer drug can bind. The Versant Ventures-founded startup is now out of stealth with two programs on the path to the clinic.
The CEO of Anagenex believes that the company's AI engine trained on billions of data points and iterative testing will blow other AI drug discovery startups out of the water.
LifeMine Therapeutics, a company that analyzes fungal genomes to find molecules that have potential as new medicines, has raised $175 million in financing. Among the investors is GlaxoSmithKline, which is teaming up with the biotech startup in a multi-target drug discovery alliance.
We will highlight Build My Health's revenue practice management tools, which could help physician practices add up to $250,000 to their practices.
Creyon Bio is the latest company to launch with artificial intelligence technology for drug R&D. The startup claims its technology can provide sufficient safety and toxicity data to enable a therapy to bypass the animal research currently needed before clinical trials.
Artificial intelligence is a powerful tool for rare disease drug discovery. The founders of Vesalius Therapeutics say AI and machine learning can also be applied to common diseases, and the startup has launched with $75 million in committed financing.
Terray Therapeutics uses tiny microarrays to test molecules against targets of interest, then applies artificial intelligence to build large chemical datasets. The startup’s Series A financing will support R&D initially in immunology; the first Terray molecule is expected to reach the clinic in 18 months.
Ventus Therapeutics’ lead programs address pathways associated with inflammation. Led by CEO Marcelo Bigal, the biotech discovers its drugs using computational analysis to understand the structure of proteins and find small molecules that can hit these "undruggable" targets.
Sanofi’s new alliance with artificial intelligence biotech Exscientia spans up to 15 small molecule drugs in cancer and immunology. If drugs from the partnership reach the market, Exscientia could earn as much as $5.2 billion in milestone payments.