Search for Soft Unclustered Energy Patterns in Proton-Proton Collisions at 13 TeV.

The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138  fb^{-1} of proton-proton collision data at sqrt[s]=13  TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.

Artificial intelligence meets the world experts; updates and novel therapies in autoimmunity - The 14th international congress on autoimmunity 2024 (AUTO14), Ljubljana.

The bi-annual international congress on autoimmunity is a huge opportunity for the medical community to discuss the latest updates in the field. During the 14th congress 2024 (AUTO14) in Ljubljana, artificial intelligence (AI) occupied special attention due to its recent and ongoing unequivocal role in various medical fields including autoimmunity. For instance, through a challenging debate between world-experts and the most popular AI bot used (ChatGPT), several clinical cases including a case of vasculitis were discussed in the plenary sessions.

Search for the Z Boson Decay to ττμμ in Proton-Proton Collisions at sqrt[s]=13 TeV.

The first search for the Z boson decay to ττμμ at the CERN LHC is presented, based on data collected by the CMS experiment at the LHC in proton-proton collisions at a center-of-mass energy of 13 TeV and corresponding to an integrated luminosity of 138  fb^{-1}. The data are compatible with the predicted background. For the first time, an upper limit at the 95% confidence level of 6.

Prediction of complications after laparoscopic partial nephrectomy: feasibility of E‑PASS score.

Purpose: With significant advancements in laparoscopic procedures and tools over the last decade, the partial nephrectomy (PN) surgical approach has gradually transformed from open to laparoscopic partial nephrectomy (LPN). Although numerous studies evaluating the postoperative complications of laparoscopic partial nephrectomy can be found in the literature, a scoring system that addresses both preoperative physical condition and intraoperative risk factors has not yet been established. The Estimation of Physiological Ability and Surgical Stress (E-PASS) score is a scoring system that considers both the patient's preoperative condition and intraoperative variables to predict the risk of postoperative complications in surgically treated patients.