AI and ML-based risk assessment of chemicals: predicting carcinogenic risk from chemical-induced genomic instability.

Chemical risk assessment plays a pivotal role in safeguarding public health and environmental safety by evaluating the potential hazards and risks associated with chemical exposures. In recent years, the convergence of artificial intelligence (AI), machine learning (ML), and omics technologies has revolutionized the field of chemical risk assessment, offering new insights into toxicity mechanisms, predictive modeling, and risk management strategies. This perspective review explores the synergistic potential of AI/ML and omics in deciphering clastogen-induced genomic instability for carcinogenic risk prediction.

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.

Long-Term Suboptimal Anticoagulation in a Patient With Double Mechanical Heart Valves Leading to Stroke and Heart Failure.

Mechanical heart valve replacements are highly durable and effective but come with a substantial requirement for lifelong anticoagulation therapy to prevent thromboembolic complications. Unlike biological valve replacements, which typically require less rigorous anticoagulation, mechanical valves - particularly in the aortic and mitral positions - present a higher risk for clot formation, necessitating strict adherence to anticoagulation regimens. This case report examines a 59-year-old male with double mechanical heart valve replacements who experienced poor compliance with anticoagulation therapy for over 30 years, ultimately leading to significant health complications.

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.