After over a decade of use, I am changing my business website to incorporate the scope and focus of my work on decision making and the application of machine learning in supporting and augmenting better clinical decision making.
www.skythunder.net is the new website replacing tremblay-consulting.biz which will be shut down in a few months as well as the associated email.
The new business email is: mike_tremblay@skythunder.net
In addition to consulting on decision making in healthcare, my business focus includes developing and commercialising machine learning predictors for life sciences/pharmaceutical companies:
- launch price modelling and cross-market simulation and gaming
- AI predictor for probability of success in Health Technology Assessment
- AI predictor for probability of changes in life sciences/pharma regulation over 6 to 12 months
- AI predictor and simulator of expert panel deliberations using synthetic (digital) experts
- AI modeller of cognitive bias in decision making for research priority setting and portfolio management
- clinical trial probability of success predictor using synthetic cohorts
My clinical AI work is being developed through www.luminalis.ai.
Luminalis is developing a suite of clinical decision predictors for professional clinical use to address important challenges in daily workflow and management of patient care. These are not for consumers. These incorporate unique application of digital twins, N-of-1 epidemiology, personalised baselines and vital signs data analysis as well the psychology of decision making by doctors and nurses. Machine/deep learning predictors in development and in search of investment include:
- transitions within the COPD GOLD framework
- rare disease trajectories
- sepsis
- and others.
Please feel free to enquire.
The first spin-out predictor is at elarinhealth.com
Elarin Health offers an AI predictor of falls probability for at risk/frail elderly individuals within a 24 to 48 hour forecast window. It does not forecast the fall event, but rather the probability of a fall thereby enabling early and anticipatory response by clinical staff. It is designed for professional users, not consumers.
Thank you.
Mike