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Optimizing healthcare providers daily workflow and patient outcomes through AI-powered ad hoc or off-the-shelf solutions. 

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Digital transformation, AI capability assessment, and trainings

Quinten Academy, part of the Quinten Group, is committed to providing companies with the benefit of the constantly evolving experience of its creators, in the service of a truly useful artificial intelligence and a successful digital transformation that is sustainable, autonomous and restores everyone's confidence.

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Digital transformation, AI capability assessment, and trainings

Quinten Academy, part of the Quinten Group, is committed to providing companies with the benefit of the constantly evolving experience of its creators, in the service of a truly useful artificial intelligence and a successful digital transformation that is sustainable, autonomous and restores everyone's confidence.

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Patient profiling for patient triage optimization

Quinten Health delivers high-performance and interpretable patients profiling, e.g. using our proprietary machine learning algorithm Q-Finder®. We identify and characterize sub-groups of patients with a similar course of disease, with higher differentiation versus the standard of care, or with higher benefit / risk profiles for a drug, therapeutic strategy, or health policy. Q-Finder® has proven to be instrumental in a wide range of business applications, including biomarkers mining, drug responder's identification, or fast progressors profiling.

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Patient journey, and discharge eligibility assessment

Machine learning algorithms developed by Quinten Health allow for characterizing optimal treatment patterns based on patient’s medical history and characteristics. Disease progression can then be modeled in the real-world e.g. to detect unmet medical needs, predict realistic disease-level public health impact of new treatments and help positioning drugs under development.

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Augmented diagnostic algorithms

We design machine learning algorithms for specific disease diagnoses and train them on real-world data to enable deployment at the point of care. Diagnosis algorithms can be based on a combination of reported symptoms, text notes, biological data, and of course real-world data as reported in databases. They can be used for ICD codes proxies, for early diagnosis of rare diseases by physicians or to help patients self-diagnose their diseases.

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Optimal treatment pathways, treatment protocols recommendations

Machine learning algorithms developed by Quinten Health allow for characterizing optimal treatment patterns based on patient’s medical history and characteristics. Disease progression can then be modeled in the real-world e.g. to detect unmet medical needs, predict realistic disease-level public health impact of new treatments and help positioning drugs under development.

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Patient progression profiling

Quinten Health delivers high-performance and interpretable patients profiling, e.g. using our proprietary machine learning algorithm Q-Finder®. We identify and characterize sub-groups of patients with a similar course of disease, with higher differentiation versus the standard of care, or with higher benefit / risk profiles for a drug, therapeutic strategy, or health policy. Q-Finder® has proven to be instrumental in a wide range of business applications, including biomarkers mining, drug responder's identification, or fast progressors profiling.

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Prescription errors reduction

PharmIA is a software powered by AI to assist hospital pharmacists in their daily tasks while improving drugs (co-)prescription and delivery practices in hospitals. Quinten Health developed PharmIA on the job at the point of care, in partnership with two French hospitals to help personalizing patient care by integrating patient monitoring data and optimizing the use of pharmaceutical products.

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Prescription errors reduction

PharmIA is a software powered by AI to assist hospital pharmacists in their daily tasks while improving drugs (co-)prescription and delivery practices in hospitals. Quinten Health developed PharmIA on the job at the point of care, in partnership with two French hospitals to help personalizing patient care by integrating patient monitoring data and optimizing the use of pharmaceutical products.

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