News and reflections from the world of AI

Entrevista con el Dr. Jose Lanciego

English Director Científico del Laboratorio de Neuroanatomía del Centro de Investigación Médica Aplicada de la Universidad de Navarra, Pamplona, España.

Interview with Dr. Jose Lanciego

Español Staff Scientist and Director, Laboratory of Functional Basal Ganglia Neuroanatomy Center for Applied Medical Research at the University of Navarra, Pamplona, Spain

5 reasons to use AI in clinical diagnostics

Rising rates of disease like cancer increase sample numbers creating a bigger burden on pathologists, an already underrepresented group of healthcare professionals. The challenge is exacerbated by the fact that traditional clinical tools and processes available to pathologists are manual and subjective.

Interview with VP of R&D at Lallemand Inc. on AI-aided identification of yeast contamination

Yeasts are common microorganisms used in industrial fermentation processes such as food and alcohol production. Microbial contamination of such processes is inevitable, as most of the fermentation substrates are not sterile. Contamination can cause a reduction of the final product concentration and render industrial yeast strains unable to be reused. Hence, contamination detection is critical to ...

Aiforia Hub for Education: Interview with a Professor of Veterinary Pathology

Knowledge of histology is necessary for a strong understanding of human biology particularly in pathology specializations. Medical schools typically teach histology in the first years but competing pressures on curricula subjects have forced many educators to reduce the amount of time dedicated to normal histology. Additionally, the maintenance of numerous microscopes and slides for teaching ...

New Finnish consortium aims to enhance diagnostics and combat pandemics

The COVID-19 pandemic has highlighted the importance of efficient diagnostic methods. Beyond battling pandemics, there are also significant diagnostic needs in everyday healthcare but healthcare systems around the world are struggling with rapidly increasing costs. The Future of Diagnostics (FUDIS) co-innovation consortium was created to address these challenges — to develop reliable, rapid, ...