Deployed COPD Exacerbation and ICU Early‑Warning ML Models in NHS‑Linked Pilots — Defined Productisation Pathway & Led 6‑Person Data Science Team

Industry: Healthcare AI

Client

Advanced Healthcare Technology Company

Goal

To leverage machine learning for clinical prediction and drug discovery, advancing AI-driven healthcare innovation.

Challenges

  • Accelerating AI deployment in complex hospital environments.
  • Evaluating and integrating AI licensable IP from academic research.
  • Ensuring clinical applicability and regulatory compliance for ML solutions.

Solution

Built COPD exacerbation prediction and ICU early warning systems using advanced ML techniques.

Led a six-person data science team, overseeing recruitment and product roadmap development.

Evaluated neural network and Bayesian methods to accelerate drug discovery efforts.

Impact:

Deployed clinically relevant predictive models in NHS-linked pilot programs.

Defined the productisation pathway for AI-driven healthcare tools.

Guided strategic innovation through evaluation of academic partnerships and IP.

*Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.