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Better Care with Synapse Platform

Synapse Platform processes real-time drug knowledge with clinical data to detect potential risks and discrepancies, improving medication decision support so healthcare professionals can provide the best personalized care possible.

Transforming Drug Data 
into Actionable Insights

Using the latest advancements in machine learning and NLP, Synapse Platform drives the digital solutions that facilitate clinical decision making for healthcare professionals and help patients to better adhere to their treatments.

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Pharmacological Literature
 and Drug Ontologies

Extraction of pharmacological data and drug ontologies from verified sources.

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Knowledge Graph

Continual updating of knowledge base for 100% reliable information on drugs.

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Actionable Medical Insights

Clinical recommendations provided through the suite of components that drives all of Synapse Platform’s digital solutions.

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Add Synapse Platform
to Your Healthcare Use Case

Applications of Synapse Platform in healthcare are limitless.
All solutions were built by pharmacists, pharmacologists and MDs to enable personalized care.

Clinical Decision Support
for Health Tech Products

A suite of plug ‘n play prescription assistance APIs and components to supercharge health tech products and increase patient safety.

Digital Health Solutions 
for Cancer Patients

The cancer care journey can be complex for both patients and their care providers. Explore Synapse Platform’s medication success solution for improved patient engagement and outcome.

Medication Reconciliation 
in Transitions of Care

Discover how Synapse Platform automates medication error detection, improves treatment adherence, and fosters team collaboration.

Automated Pharmacovigilance

Synapse Medicine’s Medication Shield is an AI-powered solution for pharmacovigilance that facilitates the management of adverse event reports. Awarded the Prix Galien 2021.

Strengthening Pharmacovigilance with Natural Language Processing

Dr. Louis Letinier Medical, Director and Co-Founder, together with Julien Jouganous, Lead Data Scientist at Synapse Medicine, authored a scientific publication entitled «Artificial Intelligence for Unstructured Healthcare Data: Application to Coding of Patient Reporting of Adverse Drug Reactions» published by the American Society for Clinical Pharmacology & Therapeutics.

In the publication, they explore ways to facilitate the monitoring of adverse drug event reports using artificial intelligence. 



The article was featured in the August 2021 issue of CPT

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Learn how your organization can benefit from
 Synapse Platform.