Johan Lundin, M.D., Ph.D., is Research Director at FIMM, Guest Professor in Medical Technology at Karolinska Institute, Stockholm and Associate Professor in Biomedical Informatics, University of Helsinki. Johan develops cloud-based and mobile solution technologies for diagnostic decision support by automated computerized analysis. He is also the co-founder and CSO of Aiforia Technologies, a company offering deep learning AI for image analysis. Johan will give us a broad overview of the use of AI in digitized whole-slide image analysis.

Tarja Sironen, associate professor of emerging infectious diseases, is a member of the Helsinki One Health network. Her research focuses on discovery of novel pathogens, and characterization of these pathogens and the diseases they cause. Her projects are centered around cross-species transmission from rodents and bats to livestock and humans. In her talk, she will discuss examples of species jumps, including those involving coronaviruses.

Heidi Rossow, DVM, PhD, Specialist Degree in Infectious Animal Diseases Risk Assessment Unit of the Finnish Food Safety Authority. In 1999 she graduated from the Justus-Liebig University Giessen, Germany. In 2008 she entered the field of infectious diseases by starting postgraduate studies at the University of Helsinki. She obtained a Specialist’s Degree in Infectious Diseases in 2011. After completing postgraduate education, she started PhD studies on the epidemiology of tularemia in Finland. She defended her doctoral thesis on 9th October 2015. Currently she is working as a scientist at the Risk Assessment Research Unit of the Finnish Food Safety Authority. In her talk she will discuss about the risk factors associated with imported dogs

Kristiina Suominen will present the latest news about Cryptosporidium parvum- project. She is a PhD-student working with Capnocytophaga-bacteria. She is also specializing in infectious animal diseases and working at Finnish institute for health and welfare as a veterinarian. For the past year, she has been involved in the KRYPTO project that determines the origin of the cryptosporidium infections.

Associate professor and biosafety officer, University of Copenhagen, Department of Veterinary and Animal Sciences. Veterinary pathologist with special interest and expertise in research and surveillance of diseases of wildlife and pathological methods applied in diagnostics and disease surveillance. Research focus has mainly been on infectious diseases in carnivores, including diseases like distemper, Aleutian mink disease virus and coronavirus, including COVID-19 infection in mink.

Jonas Kantonen, MD, PhD-student, is a pathologist working at the Helsinki University Hospital (HUH), where he currently is the consultant for autopsy pathology. His research interests include inflammatory and infectious diseases, with his PhD-project now focusing on COVID-19. He has been involved in the autopsies of all COVID-19 cases at HUH, carrying out most of them. In his talk he will present general findings from human COVID-19 autopsies.

Leena Seppä-Lassila, DVM,PhD, will share some results of the Cryptosporidium parvum project from the calf point of view. In her thesis Leena explored the acute phase response in calves, especially in calves suffering from respiratory or intestinal infections. Currently Leena is working as a senior researcher on contagious animal diseases at the Risk Assessment Unit of the Finnish Food Authority.

Liisa Myllykangas, MD, PhD, works as a clinical instructor at the Department of Pathology, University of Helsinki and as a neuropathologist in Helsinki University Hospital. Her research group is interested in neuropathological and genetic changes associated with neurological diseases, particularly neurodegenerative diseases. She has also carried out neuropathological analyses of human COVID-19 brains.

Hanna-Kaisa Sihvo, DVM, PhD, DECVP, provides pathology expertise for artificial intelligence-based image analysis development at Aiforia Technologies Ltd. In addition, she works as a diagnostic veterinary pathologist at Solumo Pathologists Ltd.  She is excited by the new possibilities that artificial intelligence provides for improving the accuracy and quantification of pathology data. In her talk, Hanna-Kaisa will give a practical demonstration of deep learning image analysis model development.