Semalytix picks up €4.3M to build the world’s largest patient experience data set

Semalytix picks up €4.3M to build the world’s largest patient experience data set

Semalytix, a Bielefeld, Germany-based startup that gives pharmaceutical corporations an AI-powered information software to higher perceive real-world affected person experiences, has raised €4.Three million in Series A funding.

Leading the spherical is enterprise capital agency btov Partners, with participation from current investor Fly Ventures and a number of other unnamed angels. Semalytix will use the injection of money to develop its enterprise improvement with pharma corporations and the broader healthcare market.

Founded in 2015 as a spin-out of analysis group Semantic Computing, Semalytix pitches itself as an information and A.I. analytics startup that desires to deliver extra real-world proof to the event of recent medication and coverings. Its flagship product, dubbed “Pharos”, is a affected person analysis software that pulls in and cleans up numerous unstructured public information — similar to blogs, boards, social media and so forth. — after which applies algorithms to ship real-time affected person insights into unmet wants, therapy expertise and the way severely a illness impacts the lives of those that endure from it.

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“Our imaginative and prescient is that we assist make affected person insights an actual Northstar KPI in drug improvement,” Semalytix co-founder and CEO Janik Jaskolski tells me. “Due to new regulatory initiatives (and public stress), pharma must reveal patient-centricity in drug improvement, [and] embrace the affected person perspective into resolution making and produce proof that their therapies present worth in the true world. For sufferers, that worth often doesn’t encompass, for instance, having their blood sugar lowered by a further 3%. Instead, they care about enhancing their high quality of life, having the ability to play longer with their children or just having a neater time going about their on a regular basis duties”.

However, Jaskolski argues that such affected person insights and associated proof is tough to acquire. “If requested, a affected person will usually inform a special story about how a illness impacts their life and what they should enhance it, in comparison with what a health care provider would say. Which is why we don’t analyse doctor or hospital information. Instead, we’re already current public information that sufferers share on-line, in their very own genuine voice, all around the globe”.

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Semalytix’s AI claims to have the ability to establish, learn by way of, and summarise hundreds of thousands of on-line affected person journeys in a extremely scalable manner. The AI can also be capable of flip this information into on-line goal populations for various illnesses and covers 11 totally different languages. “It does so by making use of WHO, FDA, and EMA impressed algorithmic analysis devices to make the evaluation clear and scientifically significant for pharma,” provides Jaskolski.

Image Credits: Semalytix

Meanwhile, though digital well being information, affected person registries, and comparable information sources are already receiving a lot consideration from startups, Jaskolski argues that the biggest supply of unstructured affected person information that exists at the moment is being neglected and but holds numerous potential to “enhance affected person care, establish new therapeutic alternatives, inform medical trial improvement, and even assist speed up improvement of novel therapies for uncommon situations”.

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Semalytix’s enterprise mannequin is a tried and examined one. The startup sells enterprise licenses for entry to its platform. An organization should buy a license for 12 months or extra for particular illnesses. “Each license allows illness particular sub-group analyses, assess populations and create cohorts based mostly on the severity of various illness burdens, therapy experiences, and high quality of life,” provides the Semalytix CEO.

“Over time, we need to embrace increasingly more illnesses into the platform and supply a singular affected person information stream to pharma but in addition to the payer and regulator aspect of healthcare”.


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