Insights

Featured News

Stay up to date with the latest discoveries in structured real-world data, oncology analytics and AI-powered research.

Insights

Our Latest Insights

Stay up to date with the latest discoveries in structured real-world data, oncology analytics and AI-powered research.

Empowering value-based payment models for better healthcare quality and patient outcomes

Nedelko Nedelkov, MPharm and Chief Expert in HTA for the National Council on Prices and Reimbursement of Medicinal Products in […]
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Adherence to treatment and decision support technology

The International Society for Pharmacoeconomics and Outcomes Research (ISPOR) held its Bulgarian Chapter event and Sqilline took an essential part in it. Having a discussion […]
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Transforming Clinical Research and Decision Support through Technology

Sofia, June 7, 2022 – Sqilline organized an exclusive health tech event with key stakeholders from the healthcare sector. The hot topic was […]
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The healthtech company speeds up R&D in medicine by accelerating patient enrollment in clinical trials with Danny Platform

Sqilline has transformed into a Clinical Research Organization (CRO). The company is set to further develop its innovative digital approach in clinical trials […]
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Digital reconstructions in clinical trials. New method for selection of patients based on RWD via Danny Platform

Sqilline took part in the Annual Oncology Conference MORE 2021. This year, the three main topics were: pancreatic cancer, national cancer plan, […]
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Sqilline sets eyes on ophthalmology via image recognition algorithm

The digital transformation of our healthcare system has never been more urgent as the hard pandemic times have proven so. That is […]
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Empowering Physicians via Advanced AI and ML Algorithms

The rapid acceleration of AI and ML algorithms could be the right force for clinical decision support tools (CDST) to become of better use for physicians. New world […]
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First cardiology study to assess FH patients using NLP algorithm

Advances in Therapy, an international medical journal, has published the Research Article “Familial Hypercholesterolemia identification algorithm in patients with acute […]
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