San Francisco-based Atomwise, a company focused on using artificial intelligence for drug discovery, signed three new deals.
In seeking innovative players that could change pharma and healthcare, Med Ad News found the developer of an app that helps people determine what illnesses are in their neighborhoods; the creator of a wearable injector that allows patients on biologics to receive these drugs outside the clinic; and a designer of a deep learning network aimed at giving pharma and healthcare companies a handle on their data.
AstraZeneca struck a deal to use Schrödinger’s advanced computing platform to help accelerate drug discovery efforts.
While a number of factors are constraining the usefulness of AI tools for pharma marketers, experts believe that the use and sophistication of these tools will evolve.
How artificial intelligence could infuse genuine humanity back into healthcare.
Despite the benefits empathetic responses can deliver, our industry has yet to fully embrace its integration in the digital space.
We do have more power at our fingertips than generations before us. But witnessing the rise of AI and actually experiencing it are two different realities.
Companies continue to announce advancements in artificial intelligence programming as they harness the power of AI and machine learning to aid in drug discovery and development.
Israel’s Aidoc, which provides artificial intelligence tools for radiologists, said the U.S. Food and Drug Administration cleared the company’s product for triage of cervical spine fractures.
There are some phrases which have become commonplace in pharma over the past few years. First, that data is the ‘new lifeblood’, able to make better, faster, more reliable decisions. But how many of us have really realized this benefit in a noticeable manner?
LabTwin’s AI-powered Digital Assistant Now Talks Back and Connects Data Sources in the Lab with New Open API
LabTwin GmbH, the world’s first voice and AI-powered digital lab assistant, announced the company’s new open API that will connect scientists with data sources both inside and outside of the lab.