Certara, the global biosimulation technology-enabled drug development company, announced that its regulatory and medical consultancy, Synchrogenix, has introduced an artificial intelligence- (AI-) enabled solution to meet the data transparency requirements of the clinical and drug development market.

The European Medicines Agency (EMA) has been working with the industry for several years to develop a set of rules to make clinical trial data more public. In January 2015, the agency released new transparency and disclosure rules related to clinical study reports contained in marketing authorization applications submitted on or after that date. The first reports are expected to be made publicly available in September 2016. The rules that EMA published earlier this month expand the breadth and depth of the original rules, and provide detailed requirements for companies to follow.

“Disclosing clinical trial information so that researchers can build upon prior knowledge is an important step in bringing new therapies to patients, and fostering the industry’s commitment to the patients it serves,” said Synchrogenix president Kelley Kendle. “At the same time, we must protect the confidential patient and personal information contained in the myriad clinical reports to be published under Policy 70, which are often hundreds of pages long. In anticipation of these regulations and concerns around protecting patient privacy, Synchrogenix has developed technology that automates the redaction of personally-identifiable information, patient-protected data, and company-confidential information with 99 per cent accuracy.”

Synchrogenix’s technology is the only AI-enabled solution in the biopharmaceutical industry. Built on natural language processing and recognition, this technology is able to identify individual words, parts of speech, and word and phrasing combinations automatically to determine context. This technology supports drug companies’ need to redact and de-identify datasets in their clinical study reports, patient narratives, patient data listings, and submission documents, in order to publish their clinical study information publicly. Synchrogenix’s technology is scalable and has already been successfully applied at both large pharma and smaller biotech organizations, quickly delivering accurately redacted documents. , the global biosimulation technology-enabled drug development company, announced that its regulatory and medical consultancy, Synchrogenix, has introduced an artificial intelligence- (AI-) enabled solution to meet the data transparency requirements of the clinical and drug development market.

The European Medicines Agency (EMA) has been working with the industry for several years to develop a set of rules to make clinical trial data more public. In January 2015, the agency released new transparency and disclosure rules related to clinical study reports contained in marketing authorization applications submitted on or after that date. The first reports are expected to be made publicly available in September 2016. The rules that EMA published earlier this month expand the breadth and depth of the original rules, and provide detailed requirements for companies to follow.

“Disclosing clinical trial information so that researchers can build upon prior knowledge is an important step in bringing new therapies to patients, and fostering the industry’s commitment to the patients it serves,” said Synchrogenix president Kelley Kendle. “At the same time, we must protect the confidential patient and personal information contained in the myriad clinical reports to be published under Policy 70, which are often hundreds of pages long. In anticipation of these regulations and concerns around protecting patient privacy, Synchrogenix has developed technology that automates the redaction of personally-identifiable information, patient-protected data, and company-confidential information with 99 per cent accuracy.”

Synchrogenix’s technology is the only AI-enabled solution in the biopharmaceutical industry. Built on natural language processing and recognition, this technology is able to identify individual words, parts of speech, and word and phrasing combinations automatically to determine context. This technology supports drug companies’ need to redact and de-identify datasets in their clinical study reports, patient narratives, patient data listings, and submission documents, in order to publish their clinical study information publicly. Synchrogenix’s technology is scalable and has already been successfully applied at both large pharma and smaller biotech organizations, quickly delivering accurately redacted documents.