Efficacy and safety of laser interstitial thermal therapy versus radiofrequency ablation and stereotactic radiosurgery in the treatment of intractable mesial temporal lobe epilepsy: a systematic review and meta-analysis.

Epilepsy is a common neurological disease that is treated with medications; however, patients with drug-resistant epilepsy, commonly intractable temporal lobe epilepsy, tend to have better control with surgical treatment. While the mainstay of surgical treatment is anterior temporal lobectomy, it carries risk of potential adverse effects hence minimally invasive techniques are now being used as an alternative to open surgery. This systematic review and meta-analysis compare the efficacy and safety of three of the most used techniques: laser interstitial thermal therapy (LITT), radiofrequency ablation (RFA) and stereotactic radiosurgery (SRS).

Exploring the anticancer activities of Sulfur and magnesium oxide through integration of deep learning and fuzzy rough set analyses based on the features of Vidarabine alkaloid.

Drug discovery and development is a challenging and time-consuming process. Laboratory experiments conducted on Vidarabine showed IC 6.97 µg∕mL, 25.

Enhancing detection of previously missed non-palpable breast carcinomas through artificial intelligence.

Purpose: To investigate the impact of artificial intelligence (AI) reading digital mammograms in increasing the chance of detecting missed breast cancer, by studying the AI- flagged early morphology indictors, overlooked by the radiologist, and correlating them with the missed cancer pathology types.

Methods And Materials: Mammograms done in 2020-2023, presenting breast carcinomas (n = 1998), were analyzed in concordance with the prior one year's result (2019-2022) assumed negative or benign. Present mammograms reviewed for the descriptors: asymmetry, distortion, mass, and microcalcifications.

Discovery of Non-Peptide GLP-1 Positive Allosteric Modulators from Natural Products: Virtual Screening, Molecular Dynamics, ADMET Profiling, Repurposing, and Chemical Scaffolds Identification.

Glucagon-like peptide-1 (GLP-1) receptor is currently one of the most explored targets exploited for the management of diabetes and obesity, with many aspects of its mechanisms behind cardiovascular protection yet to be fully elucidated. Research dedicated towards the development of oral GLP-1 therapy and non-peptide ligands with broader clinical applications is crucial towards unveiling the full therapeutic capacity of this potent class of medicines. This study describes the virtual screening of a natural product database consisting of 695,133 compounds for positive GLP-1 allosteric modulation.