Farhan Akram

Dr. Farhan Akram is an Assistant Professor at the Department of Pathology within Erasmus MC, part of Erasmus University Rotterdam. His research focuses on integrating artificial intelligence, particularly deep learning, into digital pathology for cancer diagnosis and prognosis. Key areas include molecular subclass prediction in uveal melanoma, recurrence prediction in lung adenocarcinoma, and bladder cancer diagnostics through systematic reviews of AI applications.

His work emphasizes improving diagnostic accuracy through computational methods, such as generative adversarial networks and advanced image segmentation techniques. Collaborations span oncology, medical imaging, and computational pathology, addressing challenges in histopathological analysis and clinical decision-making.

Recent publications highlight AI outperforming traditional histopathological methods in recurrence prediction and demonstrating efficiency in breast cancer classification using novel neural network architectures. No scientific awards are explicitly mentioned in the provided text.

Dr. Akram’s research also explores discrepancies between biopsy and resection samples in early-stage lung cancers, advancing understanding of prognostic parameters. While no lab or team affiliations are detailed, his work is part of broader initiatives in digital pathology and oncology at Erasmus MC.