Predicting Influenza A Tropism with End-to-End Learning of Deep Networks.

The type of host that a virus can infect, referred to as host specificity or tropism, influences infectivity and thus is important for disease diagnosis, epidemic response, and prevention. Advances in DNA sequencing technology have enabled rapid metagenomic analyses of viruses, but the prediction of virus phenotype from genome sequences is an active area of research. As such, automatic prediction of host tropism from analysis of genomic information is of considerable utility.

[Analysis and comparative evaluations of the costs of supports and treatments of schizophrenia, affective psychosis, paranoia and neurosis].

Objective: The aim of the study was to show, trough the calculation of the direct costs of supports and treatments actually provided by a NHS Mental Health Department, the presence of associations between four diagnostic groups (schizophrenia, affective psychosis, paranoia and neurotic disorders) and their overall and items (community care, rehabilitation facilities and in-patients services) costs.

Setting: Mental Health Department and CSM "Scalo" (NHS Mental Centre), AUSL "Città di Bologna", Emilia-Romagna Region.

Design: Yearly direct costs were calculated for a sample (n = 75) of all patients (N = 745) who during 365 days had more than four contacts with CSM and also for four randomised diagnostic groups (n = 30 per group).

Prospective surveillance of antibiotic-associated coagulopathy in 970 patients.

N-methyl-thio-tetrazole (NMTT) has been proposed as a causative factor in antibiotic-associated coagulopathy. To evaluate this hypothesis, a nationwide surveillance program was initiated to determine the relative frequency of antibiotic-associated coagulopathy and the importance of specific risk factors. A total of 970 patients were studied, with 491 being treated for infections and 479 receiving antimicrobial surgical prophylaxis.