A Platform-Based Global Network for Pathology Expertise
Alumni
Pathology is the study of human disease and is central to medicine. In recent years, pathologists’ workload has steadily increased, and their work has also become more complex with precision diagnostics and personalized therapies. The number of oncology studies that require histopathological expertise continues to rise. At the same time, there is a decreasing number of pathologists worldwide due to a wave of retirements and an insufficient number of trainees. As a result, the recruitment of suitable pathologists can be difficult for preclinical and clinical trials as well as for the healthcare system.
Peter Hufnagl
(Charité)
Project Lead
Norman Zerbe
(Charité)
Project Lead
Pathology is going digital, which offers various new opportunities for routine diagnostic work. The WePath platform aims to help the pathology community take advantage of these new opportunities by providing access to a global network of experts. WePath takes collaboration to a new level by integrating incoming and outgoing cases in real-time and making other pathologists available at your fingertips.
The WePath community creates new high-potential opportunities to conduct preclinical and clinical trials and to clinically validate AI solutions. For digital clinical studies, the platform can manage cases, specimens, and the generated data together in one place to streamline organizational processes and assure regulatory compliance. Pharmaceutical and AI software companies can also gain access to the clinical expertise of human diagnostic pathologists for all subspecialties, regardless of workload and time constraints.
In the interdisciplinary WePath team, pathologists, mathematicians, biochemists, and computer scientists are working together to build the WePath platform. The team brings together colleagues with many years of experience in digital pathology at Charité, in North America and Southern Europe as well as highly motivated young computer scientists. Their expertise includes pathology, digital pathology, image processing, AI and software architecture.