Insights
Sqilline project was approved for funding by Norwegian Financial Mechanism 2014-2021, Programme Business Development, Innovation and SMEs, Bulgaria, Focus area: Welfare Technology
Project „ Experimental development for creation of decision support application (Danny DSA) for breast and prostate cancer care“ approved and funded by Norwegian Financial Mechanism 2014-2021…
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Digital reconstructions in clinical trials. New method for selection of patients based on RWD via Danny Platform
Sqilline demonstrated, live its Cohorts application and precisely its methodology for selection of patients in clinical trials and specifically for the category of observational studies.
Sqilline sets eyes on ophthalmology via image recognition algorithm
With the strong initiative of the Bulgarian Society of Ophthalmology (BSO), Sqilline was chosen to deliver a new pilot project which aims to digitalize clinical data in the ophthalmology filed.
Sqilline project was approved for funding by Norwegian Financial Mechanism 2014-2021, Programme Business Development, Innovation and SMEs, Bulgaria, Focus area: Welfare Technology
Project „ Experimental development for creation of decision support application (Danny DSA) for breast and prostate cancer care“ approved and funded by Norwegian Financial Mechanism 2014-2021…
Read more
Digital reconstructions in clinical trials. New method for selection of patients based on RWD via Danny Platform
Sqilline demonstrated, live its Cohorts application and precisely its methodology for selection of patients in clinical trials and specifically for the category of observational studies.
Sqilline sets eyes on ophthalmology via image recognition algorithm
With the strong initiative of the Bulgarian Society of Ophthalmology (BSO), Sqilline was chosen to deliver a new pilot project which aims to digitalize clinical data in the ophthalmology filed.
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.
AI-enabled prediction of clinical outcomes, based on RWD from EHR
As part of the company’s product pipeline Danny Predictions of clinical outcomes for targeting therapies will be available in Q4 of 2020.
How to measure value in cancer immunotherapy
One of the most fundamental questions facing any health care system is whether the resources invested are achieving the maximum result. Another way of phrasing this is whether patients, the ultimate benefactors of health care, are seeing the highest avail
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