SK Biopharmaceuticals and Eurofarma Form Joint Venture for AI Epilepsy Platform

Oct 29, 2025
SK Biopharmaceuticals and Eurofarma have launched Mentis Care, a joint venture based in Toronto, to develop an AI-driven epilepsy management platform combining real-time seizure detection and predictive analytics.

SK Biopharmaceuticals and Eurofarma have established a joint venture named Mentis Care to develop an AI-based platform for epilepsy management, announced in a press release. The venture aims to commercialize an integrated digital ecosystem that combines real-time seizure detection, prediction algorithms, and clinical decision support tools.

Mentis Care is headquartered in the MaRS Discovery District in Toronto, one of North America's major innovation hubs. It will focus on advancing AI-driven electroencephalography and wearable technologies developed by SK Biopharmaceuticals since 2018. The company plans to expand its team, pursue clinical validation of its algorithms, and strengthen collaborations with academic and industry partners.

Eurofarma will lead business strategy and AI data learning efforts for the joint venture, building on its existing partnership with SK Biopharmaceuticals, which began in 2022 for the Latin American commercialization of the anti-seizure medication cenobamate. Hassan Kotob, former CEO of Brain Scientific, has been appointed as CEO of Mentis Care to oversee the platform’s development and operations.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Healthcare & Life Sciences AI AI Brief AI Brief (X)
Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.