DNAlytics

www.dnalytics.com

Our mission is to help the life sciences field to develop and deploy health care products and services faster and better by developing innovative data-driven healthcare strategies. Our vision is to become a top-of-mind solution provider at an international level in this field. The health care industry is subject to wrong or inefficient diagnosis and therapeutic strategies. Difficulty to come with new efficient therapeutics and medical technologies have huge societal costs. This involves hospitals, laboratories, pharma/biotech, medtech, diagnostics, cell therapy, CROs, ... Strong trends consisting in hight pressure on budgets from health payers and patient empowerment also trigger a need for more tailored health care. The field is also under heavy data deluge (real-life, genomics, clinical, biology, demographics, … ) and adequate solutions need to be adopted to make the most out of these. Our approach is to use Data Science (Machine Learning, Statistics, Artificial Intelligence, Cloud Computing, Data Management, ...) to build new decision-support tools from public / private data to tackle these inefficiencies. We use this innovative approach on a rather traditional consulting model. Typical applications: - Clinical development - R&D - Diagnostics, prognostics, theranostics - Production and manufacturing excellence - Health policy-making - Patient care optimization A few numbers: - 2-digits growth every year since its inception. - Involved in ~30 scientific communications - More than half our turnover is made out of Belgium, a part of which out of EU. - Our machine learning library LiblineaR is downloaded worldwide >2000 times/month. - Our rheumatology platform rheumakit.com has >40.000 users/year.

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Our mission is to help the life sciences field to develop and deploy health care products and services faster and better by developing innovative data-driven healthcare strategies. Our vision is to become a top-of-mind solution provider at an international level in this field. The health care industry is subject to wrong or inefficient diagnosis and therapeutic strategies. Difficulty to come with new efficient therapeutics and medical technologies have huge societal costs. This involves hospitals, laboratories, pharma/biotech, medtech, diagnostics, cell therapy, CROs, ... Strong trends consisting in hight pressure on budgets from health payers and patient empowerment also trigger a need for more tailored health care. The field is also under heavy data deluge (real-life, genomics, clinical, biology, demographics, … ) and adequate solutions need to be adopted to make the most out of these. Our approach is to use Data Science (Machine Learning, Statistics, Artificial Intelligence, Cloud Computing, Data Management, ...) to build new decision-support tools from public / private data to tackle these inefficiencies. We use this innovative approach on a rather traditional consulting model. Typical applications: - Clinical development - R&D - Diagnostics, prognostics, theranostics - Production and manufacturing excellence - Health policy-making - Patient care optimization A few numbers: - 2-digits growth every year since its inception. - Involved in ~30 scientific communications - More than half our turnover is made out of Belgium, a part of which out of EU. - Our machine learning library LiblineaR is downloaded worldwide >2000 times/month. - Our rheumatology platform rheumakit.com has >40.000 users/year.

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Country

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City (Headquarters)

Louvain-la-Neuve

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Employees

1-10

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Founded

2012

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  • Fullstack Developer

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