Draft:Sensifai Health
Submission declined on 18 May 2026 by ChrysGalley (talk). This draft's references do not show that the subject meets Wikipedia's criteria for inclusion for organizations and companies. The draft requires multiple published secondary sources that:
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This draft's references do not show that the subject meets Wikipedia's criteria for inclusion for organizations and companies. The draft requires multiple published secondary sources that:
Declined by MSK 25 days ago.
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Comment: See WP:SIRS. We need corporate depth on the company, which most companies are unable to demonstrate. Here there is a press release from the university, which is picked up by 3 other sources, but which doesn't talk about the company itself in much detail. It is also not allowed to have direct URLs in the article. ChrysGalley (talk) 10:26, 18 May 2026 (UTC)
Company type | Private company | ||||||
|---|---|---|---|---|---|---|---|
| Industry | Artificial intelligence · Medical devices (SaMD) · Digital health | ||||||
| Founded | 2023, Montréal, Quebec, Canada | ||||||
| Headquarters | Montréal, Quebec, Canada | ||||||
Key people | Amir Hadid, PhD (CEO); Emily McDonald, MD MSc (CMO); Dennis Jensen, PhD (Co-founder) | ||||||
| Products | AI-powered systemic inflammation prediction platform | ||||||
| |||||||
| Website | sensifai | ||||||
Sensifai Health Inc. is a Montreal-based health technology company that developed an artificial intelligence platform to detect signs of infection before symptoms appear, using data from consumer wearable devices. The company was founded by researchers from McGill University and the Research Institute of the McGill University Health Centre (RI-MUHC).[1]
Research
A study conducted at the RI-MUHC's Centre for Innovative Medicine and published in The Lancet Digital Health in July 2025 found that an AI platform analyzing data from consumer wearables could predict acute systemic inflammation — an early immune response to viral respiratory infections — before symptoms appeared.[2]
According to McGill University, the study involved 55 healthy adults aged 18–59 who wore three commercially available devices — a smart ring, a smartwatch, and a biosensor shirt — while receiving a live attenuated influenza vaccine as a controlled immune challenge. Over 2 billion data points were collected. Nine AI models were trained on the wearable data and compared against a symptom-only model; all wearable-based models outperformed symptom-based detection.[1] The leading model achieved close to 90% sensitivity in predicting inflammatory events.[2]
The McGill University newsroom reported that the algorithms also detected immune activation in four participants who were incidentally infected with SARS-CoV-2 during the study, flagging the response before symptoms appeared or PCR testing confirmed infection.[1]
Senior author Dennis Jensen, PhD, was quoted by McGill as saying: the system gives patients and healthcare providers the chance to intervene early before critical health events occur.[1]
Company
The research led to the founding of Sensifai Health Inc. in 2023 as a spin-off from the RI-MUHC. The company was co-founded by Amir Hadid, PhD, Emily McDonald, MD MSc, and Dennis Jensen, PhD, all affiliated with McGill University.[1]
In July 2025, CBC News reported on the technology, describing how Montreal researchers used AI to detect inflammation before symptoms appear.[3] CTV News reported that Canadian researchers were utilizing AI to predict respiratory infections.[4] Global News also covered the story, reporting that the McGill team had developed AI that could detect infection before symptoms appear.[5]
Media coverage
- CBC News — "Montreal researchers using AI to detect infection before symptoms appear" (July 30, 2025). https://www.cbc.ca/player/play/video/9.6850915
- CTV News — "Canadian researchers utilize AI to predict respiratory infections" (July 31, 2025). https://www.ctvnews.ca/video/2025/07/31/canadian-researchers-utilize-ai-to-predict-respiratory-infections/
- Global News — "McGill researchers use AI to detect infection before symptoms appear" (August 7, 2025). https://globalnews.ca/video/11322068/mcgill-researchers-use-ai-to-detect-infection-before-symptoms-appear/
- CityNews — "McGill researchers develop AI to predict infections before symptoms" (July 30, 2025). https://montreal.citynews.ca/video/2025/07/30/mcgill-researchers-develop-ai-to-predict-infections-before-symptoms/
- The Canadian Press — distributed nationally to major Canadian publications (July 30, 2025)
References
- ^ a b c d e McGill University Newsroom. "Montreal researchers use AI and wearable sensors to detect inflammation before symptoms appear." July 30, 2025. https://www.mcgill.ca/newsroom/channels/news/montreal-researchers-use-ai-and-wearable-sensors-detect-inflammation-symptoms-appear-366162
- ^ a b Hadid A, McDonald EG, et al. "Development of machine learning prediction models for systemic inflammatory response following controlled exposure to a live attenuated influenza vaccine in healthy adults using multimodal wearable biosensors in Canada." The Lancet Digital Health. 2025;7(7):100886. https://www.thelancet.com/journals/landig/article/PIIS2589-7500(25)00068-8/fulltext
- ^ CBC News. "Montreal researchers using AI to detect inflammation before symptoms appear." July 30, 2025. https://www.cbc.ca/player/play/video/9.6850915
- ^ CTV News. "Canadian researchers utilize AI to predict respiratory infections." July 31, 2025. https://www.ctvnews.ca/video/2025/07/31/canadian-researchers-utilize-ai-to-predict-respiratory-infections/
- ^ Global News. "McGill researchers use AI to detect infection before symptoms appear." August 7, 2025. https://globalnews.ca/video/11322068/mcgill-researchers-use-ai-to-detect-infection-before-symptoms-appear/
See also
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