Publications by authors named "E Caso Pelaez"
Objectives: Our aim was to determine the prevalence and characteristics of people with HIV on antiretroviral therapy (ART) with multidrug resistance (MDR; confirmed resistance to three or more [or resistance to two or more plus contraindication to one or more] core ART classes) and limited treatment options (LTOs) in Spain.
Methods: This was an observational, retrospective, multicentre, cross-sectional chart review study undertaken in five reference Spanish centres. Participants were people with HIV on ART with MDR and LTOs (detectable viral load [HIV-RNA >200 copies/mL], treatment-limiting drug-drug interaction [DDI], or intolerance precluding the use of one or more ART classes).
Objective: To explore and compare medical students' experiences with communication skills training (CST) in medical education.
Method: Five medical students from the U.S.
Article Synopsis
- Machine learning can work well, but it often struggles to make accurate predictions on new data, which is called out-of-sample generalizability.
- To solve this problem, researchers are using a method called Federated ML that allows computers to share information about how well they're learning without actually sharing the data itself.
- In a big study with 71 locations around the world, scientists created a model to help detect brain tumors more accurately, showing a significant improvement compared to older methods and hoping to help with rare illnesses and data sharing in healthcare.