Annual Industry Ranking And Forecast
Digital health firms have been buzzing with potential and VC investment, but pharma is yet to integrate behavior-modifying digital therapeutics into its business plan in any meaningful way. The onset of AI is causing ripples in drug discovery and development, but is there enough data to make a difference?
While artificial intelligence has proven its value in drug discovery, for most companies, the power of their AI systems is only as strong as the data those systems are trained on. However, stakeholders – from individual companies to consortiums and service vendors -- are finding creative approaches to overcome the so-called data problem and strengthen their AI models.
Despite all of the buzz around adoption of digital health tools and whopping VC investments in consumer-facing digital health firms, pharma has yet to articulate a business model for co-development or integration of behavior-modifying digital therapeutics into their portfolios.
Hype around the metaverse has made it a sexy topic, but a recent Accenture report grounds the concept in a sober, yet still exciting, reality. The consulting firm looked at how the metaverse is being applied in the life sciences sector and concluded that while it is early days and the concept remains nebulous, executives would be remiss if they ignored the growing possibilities the metaverse has to offer.
Viz.ai is making artificial intelligence real and ready with an algorithm-based detection and diagnostics platform that is beating the clinical clock in fighting stroke. The start-up is now focused on positioning its joined-up AI software as standard-setter for broader patient engagement with big pharma on everything from participation in clinical trials to launching the next generation of high-touch specialty medicines.
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