Ahmed Abdulaal
| Ahmed Abdulaal | |
| Occupation | Co-founder and CEO of Mecha Health |
|---|---|
| Known for | Mecha Health (YC W25) |
| Education | Imperial College London (medical training), University College London (PhD, Machine Learning) |
Ahmed Abdulaal is a British physician, machine learning researcher, and entrepreneur. He is the co-founder and chief executive officer of Mecha Health, a health technology company founded in 2024 that develops foundation models to automate X-ray analysis for radiologists. Mecha Health was part of the Y Combinator Winter 2025 batch.[1]
Early life and education
Abdulaal completed his medical training at Imperial College London. He subsequently pursued doctoral studies in machine learning at University College London as a Microsoft PhD Scholar, a competitive scholarship awarded by Microsoft Research to doctoral candidates working at the intersection of computing and applied science. His academic research has spanned causal modelling, structural models, medical imaging, and generative models, with publications at venues including ICLR (2024, 2025) and a NeurIPS workshop in 2022. Notable research includes work on causal graph discovery, deep structural causal modelling of Alzheimer's disease, and methods for reducing hallucinations in large language models.[2]
Career
Prior to founding Mecha Health, Abdulaal worked as a research scientist at the Center for Artificial Intelligence at AstraZeneca, where he contributed to applied machine learning projects in the pharmaceutical and biomedical domain. He also contributed to published research on COVID-19 outcomes, including a study examining the association between ethnicity and health outcomes in SARS-CoV-2 patients within a London secondary care population.
Abdulaal co-founded Mecha Health alongside Nina Montana Brown, Hugo Fry, and Ayodeji Ijishakin. The company is based in San Francisco and builds proprietary foundation models that process medical images and produce draft reports for radiologists. According to the company, its first model was developed in under two months and outperformed models from Microsoft, Google, and OpenAI on clinical accuracy metrics, while being significantly smaller in size and trained on less data.[3] The system is designed to increase radiologist throughput from reading roughly one scan per hour to one scan every five minutes.
Mecha Health raised $4.1 million in seed funding, led by Valia Ventures with participation from Y Combinator, Rebel Fund, Reach Capital, and Phosphor Capital.[4] The company has partnered with what it describes as the largest privately owned radiology practice in the United States and a multinational tele-radiology company. The system accepts medical imaging data in DICOM, HL7, and FHIR formats and generates editable draft reports for clinical review.
The company operates across the artificial intelligence, machine learning, computer vision, and health technology sectors.
References
- ↑ "Mecha Health – Y Combinator". 'Y Combinator}'. Retrieved 2025-03-18.
- ↑ "Alzheimer's Disease research – MANIFOLD Lab". 'University College London MANIFOLD Lab}'. Retrieved 2025-03-18.
- ↑ "Mecha Health". 'Mecha Health}'. Retrieved 2025-03-18.
- ↑ "Mecha Health – Company Profile and Team". 'Tracxn}'. Retrieved 2025-03-18.