Digital morphology network for effective teaching of cytology, histology and histopathology for medical and biology curriculum. VM3.0 Erasmus+ project.

Introduction: Digital microscopy transformation, the basis for the virtual microscopy applications, is a challenge but also a requirement in modern Medical Education. This paper presents the scope, background, methods, and results of the project "Digital Transformation of Histology and Histopathology by Virtual Microscopy (VM) for an Innovative Medical School Curriculum", VM3.0, funded by the European Union under the Erasmus+ framework (ref.

Semen parameters can be predicted from environmental factors and lifestyle using artificial intelligence methods.

Fertility rates have dramatically decreased in the last two decades, especially in men. It has been described that environmental factors as well as life habits may affect semen quality. In this paper we use artificial intelligence techniques in order to predict semen characteristics resulting from environmental factors, life habits, and health status, with these techniques constituting a possible decision support system that can help in the study of male fertility potential.

Sperm immobilized before intracytoplasmic sperm injection undergo ultrastructural damage and acrosomal disruption.

The aim of this study was to describe morphologic sperm changes observed via scanning electron microscopy and the acrosomal status resulting from immobilization and micromanipulation. The manipulations made on sperm before intracytoplasmic sperm injection were the possible cause of sperm ultrastructural damages and could trigger an acrosome reaction.