Evaluation of ChatGPT-4 for the detection of surgical site infections from electronic health records after colorectal surgery: A pilot diagnostic accuracy study.

Background: Surveillance of surgical site infection (SSI) relies on manual methods that are time-consuming and prone to subjectivity. This study evaluates the diagnostic accuracy of ChatGPT for detecting SSI from electronic health records after colorectal surgery via comparison with the results of a nationwide surveillance programme.

Methods: This pilot, retrospective, multicentre analysis included 122 patients who underwent colorectal surgery.

Development and validation of the post-CAR prognostic index for large B-cell lymphoma patients after CAR-T progression in third or later line treatment.

Chimeric antigen receptor (CAR) T-cell therapy fails to achieve durable responses in over 60% of relapsed/refractory (R/R) large B-cell lymphoma (LBCL) patients in the third or later line setting. After CAR-T failure, survival outcomes are heterogeneous and a prognostic model in this patient population is lacking. A training cohort of 216 patients with progressive disease (PD) after CAR-T from 12 Spanish centers was used to develop the Post-CAR Prognostic Index (PC-PI); primary endpoint was overall survival (OS) from CAR-T progression.

Exploiting the triple quadrupole mass analyzer for the open detection and tentative identification of synthetic cannabinoid receptor agonists based on common fragmentation pathways.

Background: The use of new psychoactive substances (NPS) has emerged as a significant public health concern globally, due to their unknown and unpredictable effects on both physical and mental health. Among them, synthetic cannabinoids receptor agonists (SCRAs) currently stand as the most widely consumed NPS family in Europe. Since the detection of JWH-018 in 2008, the structures of these compounds have evolved to circumvent legislation and/or enhance their effects, consequently increasing the number of reported SCRAs to be monitored.

Novel Drug-like HsrA Inhibitors Exhibit Potent Narrow-Spectrum Antimicrobial Activities against .

infection constitutes a silent pandemic of global concern. In the last decades, the alarming increase in multidrug resistance evolved by this pathogen has led to a marked drop in the eradication rates of traditional therapies worldwide. By using a high-throughput screening strategy, in combination with in vitro DNA binding assays and antibacterial activity testing, we identified a battery of novel drug-like HsrA inhibitors with MIC values ranging from 0.

Merging multi-omics with proteome integral solubility alteration unveils antibiotic mode of action.

Antimicrobial resistance is responsible for an alarming number of deaths, estimated at 5 million per year. To combat priority pathogens, like , the development of novel therapies is of utmost importance. Understanding the molecular alterations induced by medications is critical for the design of multi-targeting treatments capable of eradicating the infection and mitigating its pathogenicity.