Publications by authors named "F Benvenuto"
Background: COVID-19 may result in persistent symptoms in the post-acute phase, including cognitive and neurological ones. The aim of this study is to investigate the cognitive and neurological features of patients with a confirmed diagnosis of COVID-19 evaluated in the post-acute phase through a direct neuropsychological evaluation.
Methods: Individuals recovering from COVID-19 were assessed in an out-patient practice with a complete neurological evaluation and neuropsychological tests (Mini-Mental State Examination; Rey Auditory Verbal Test, Multiple Feature Target Cancellation Test, Trial Making Test, Digit Span Forward and Backward, and Frontal Assessment Battery).
Purpose: We present a case of an ischemic retinopathy with severe vision loss secondary to a childhood stroke.
Methods: Case report.
Results: An otherwise healthy 9-year-old girl presented with a 1-day history of impaired gait and speech.
Article Synopsis
- The study looked at two types of brain bleeding: one from problems with blood vessels (aSAH) and one that wasn't, called spontaneous non-aneurysmal subarachnoid hemorrhage (smSAH), to see how they affect inflammation in the body.
- Researchers observed 48 patients and collected blood samples over several days to learn about their immune responses.
- The results showed important differences in inflammation markers on the first day, suggesting that understanding these immune reactions might help in treating patients better in the future.
The problem of nowcasting extreme weather events can be addressed by applying either numerical methods for the solution of dynamic model equations or data-driven artificial intelligence algorithms. Within this latter framework, the most used techniques rely on video prediction deep learning methods which take in input time series of radar reflectivity images to predict the next future sequence of reflectivity images, from which the predicted rainfall quantities are extrapolated. Differently from the previous works, the present paper proposes a deep learning method, exploiting videos of radar reflectivity frames as input and lightning data to realize a warning machine able to sound timely alarms of possible severe thunderstorm events.
View Article and Find Full Text PDFPurpose: The purpose of this study was to evaluate ophthalmological findings in patients with acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) in a Latin American population.
Materials And Methods: This was a single-center, retrospective study. The observational analysis was conducted in AML and ALL patients seen as a routine examination at the department of ophthalmology of tertiary care center in Argentina between March 1, 2017, and February 28, 2018.