Semalytix, a Bielefeld, Germany-based startup that provides pharmaceutical companies an AI-powered data tool to much better comprehend real-world patient experiences, has actually raised EUR4.3 million in Series A financing.

Leading the round is venture capital company btov Partners, with participation from existing investor Fly Ventures and a number of unnamed angels. Semalytix will use the injection of money to broaden its company development with pharma companies and the wider healthcare market.

Founded in 2015 as a spin-out of research group Semantic Computing, Semalytix pitches itself as an information and AI analytics startup that wishes to bring more real-world proof to the development of brand-new drugs and treatments. Its flagship item, called “Pharos,” is a client research tool that draws in and cleans up numerous unstructured public information– such as blog sites, online forums, social networks etc.– and after that uses algorithms to provide real-time patient insights into unmet requirements, treatment experience and how badly an illness impacts the lives of those who struggle with it.

“Our vision is that we help make patient insights a genuine Northstar KPI in drug advancement,” Semalytix co-founder and CEO Janik Jaskolski informs me. “Due to new regulatory initiatives (and public pressure), pharma needs to show patient-centricity in drug advancement, [and] consist of the patient perspective into choice making and produce proof that their treatments provide worth in the real world. For patients, that value typically does not include, for example, having their blood sugar decreased by an extra 3%. Rather, they appreciate improving their lifestyle, having the ability to play longer with their kids or just having a much easier time setting about their daily tasks.”

Jaskolski argues that such patient insights and associated evidence is tough to get. “If asked, a client will often inform a different story about how a disease effects their life and what they need to enhance it, compared to what a medical professional would say. Which is why we do not analyse doctor or health center information. Rather, we are taking a look at already existing public information that patients share online, in their own genuine voice, all around the world.”

Semalytix’s AI declares to be able to recognize, check out and summarise millions of online client journeys in an extremely scalable method. The AI is likewise able to turn this data into online target populations for different illness, and covers 11 different languages. “It does so by using WHO, FDA and EMA influenced algorithmic research instruments to make the analysis clinically significant and transparent for pharma,” includes Jaskolski.

Image Credits: Semalytix On the other hand, although electronic health records, patient windows registries and similar information sources are currently receiving much attention from startups, Jaskolski argues that the largest source of unstructured client data that exists today is being ignored and yet holds a great deal of possible to “improve patient care, recognize new therapeutic chances, inform scientific trial development and even help accelerate advancement of novel treatments for rare conditions.”

Semalytix’s organisation model is a tried and checked one. The start-up sells enterprise licenses for access to its platform. A company can purchase a license for 12 months or more for specific illness. “Each license makes it possible for disease-specific sub-group analyses, examine populations and develop cohorts based upon the intensity of different illness concerns, treatment experiences, and lifestyle,” includes the Semalytix CEO.

“With time, we wish to include more and more diseases into the platform and supply a distinct patient data stream to pharma however also to the payer and regulator side of healthcare.”

Article curated by RJ Shara from Source. RJ Shara is a Bay Area Radio Host (Radio Jockey) who talks about the startup ecosystem – entrepreneurs, investments, policies and more on her show The Silicon Dreams. The show streams on Radio Zindagi 1170AM on Mondays from 3.30 PM to 4 PM.