Institute for Molecular Medicine Finland

Deep learning based tissue analysis predicts outcome in colorectal cancer

Dmitrii Bychkov, Nina Linder, Riku Turkki et al.

2018 · 643 Zit.

Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review

Rasheed Omobolaji Alabi, Omar Youssef, Matti Pirinen et al.

2021 · 168 Zit.

Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

Domenica D’Elia, Jaak Truu, Leo Lahti et al.

2023 · 30 Zit.

AI-Supported Digital Microscopy Diagnostics in Primary Health Care Laboratories: Protocol for a Scoping Review

Joar von Bahr, Vinod Diwan, Andreas Mårtensson et al.

2024 · 4 Zit.

AI supported diagnostic innovations for impact in global women’s health

Nina Linder, Dinnah Nyirenda, Andreas Mårtensson et al.

2025 · 1 Zit.

Deep learning-based prediction of one-year mortality in the entire Finnish population is an accurate but unfair digital marker of aging

Andrius Vabalas, Tuomo Hartonen, Pekka Vartiainen et al.

2023 · 1 Zit.

AI-Supported Digital Microscopy Diagnostics in Primary Health Care Laboratories: Protocol for a Scoping Review (Preprint)

Joar von Bahr, Vinod Diwan, Andreas Mårtensson et al.

2024 · 1 Zit.

Chat-based digital clinic encourages individuals at high risk of coronary heart disease to contact physician

Eero Aaltonen, Nina Mars, Louis Petitjean et al.

2026 · 0 Zit.

Large language models improve transferability of electronic health record-based predictions across countries and coding systems

Matthias Kirchler, Matteo Ferro, Veronica Lorenzini et al.

2026 · 0 Zit.

Artificial Intelligence in Clinical Trials: From Protocol Design to Pharmacovigilance

Aron Schulman, Adrià Fernández-Torras, Paola Galdi et al.

2026 · 0 Zit.