معرفی
Mattias Ohlsson is a Professor at Lund University, holding key affiliations with the Centre for Environmental and Climate Science (CEC), the Artificial Intelligence in CardioThoracic Sciences (AICTS) initiative, and the eSSENCE: The e-Science Collaboration. He is also a member of the LU Profile Area: Natural and Artificial Cognition. His work bridges computational science, medicine, and biology, focusing on real-world health applications of machine learning. He contributes to major interdisciplinary research projects and is deeply embedded in Lund’s academic and research ecosystem.
His research centers on machine learning, particularly neural networks, applied to medical and biological challenges. Key areas include biomarker discovery in cancer using proteomic data, survival analysis in cardiac transplantation to optimize donor-recipient matching, and AI-driven decision support for medical imaging, such as whole-body bone scintigraphy for prostate cancer. His recent work emphasizes early cancer detection and emergency department diagnostics, especially in dyspnea and triage optimization.
His 15 most recent publications reveal a strong trend toward deep learning applications in oncology and emergency care, with a focus on improving diagnostic accuracy and clinical decision-making. These works span high-impact journals in digital medicine, oncology, and medical informatics, demonstrating a consistent contribution to translational AI in healthcare.
Scientific Awards and Grants:
- Grant from Swedish Research Council (PREPARE project, 2021)
- Grant for AI in emergency department resource management (2021 Dec 6)
- Grant (2022 Mar 31)
- Grant (2022 Oct 19)
- Grant (2022 Dec 1)
- Grant (2023 Oct 27)
Advising and Grants: Mattias Ohlsson actively supervises PhD students, serving as a joint second supervisor in projects related to AI in emergency care and breast cancer. He is a key researcher in multiple funded projects, including those supported by the Swedish Research Council. His collaborative grants focus on AI for pandemic preparedness, disease surveillance, and emergency department optimization, often in partnership with clinicians and data scientists.
Labs and Teams: He is involved in several major research initiatives, including eSSENCE and the LU Profile Area: Natural and Artificial Cognition. He collaborates extensively within Lund University and with external partners, contributing to interdisciplinary teams focused on AI in health, climate, and emergency medicine. He organizes seminars such as the AI Lund lunch series and participates in events like the LUCC - AI and Cancer Seminar, indicating strong leadership in academic community building.
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