Machine Learning-Assisted Prediction of Photothermal Metal-Phenolic Networks.

Photothermal therapy (PTT) demonstrates significant potential in cancer treatment, wound healing, and antibacterial therapy, with its efficacy largely depending on the performance of photothermal agents (PTAs). Metal-phenolic network (MPN) materials are ideal PTA candidates due to their low cost, good biocompatibility and excellent ligand-to-metal charge transfer properties. However, not all MPNs exhibit significant photothermal properties, and the vast chemical space of MPNs (over 700,000 potential combinations) complicates the screening of high-photothermal materials.

Comparison of Catheter Ablation in Patients with Paroxysmal Non-valvular Atrial Fibrillation and Heart Failure with Preserved Ejection Fraction.

The efficacy of radiofrequency ablation (RFA) in patients with atrial fibrillation (AF) and heart failure with preserved ejection fraction (HFpEF) has been established, but the efficacy and safety of cryoballoon ablation (CBA) and pulsed field ablation (PFA) remain unclear. This retrospective cohort study included 223 patients with paroxysmal non-valvular AF and HFpEF who underwent their first AF ablation between January 2017 and December 2021 and were divided into RFA (n = 77), CBA (n = 127), and PFA (n = 19) groups. After a mean follow-up of 11.

EML4-ALK-Positive Ovarian Cancer With Intracranial Metastasis Responds to Lorlatinib: A Case Report and Literature Review.

We report a case showing that lorlatinib is effective in treating EML4-ALK-positive low-grade serous ovarian cancer (LGSO) with intracranial metastasis. This may be the first clinical evidence of LGSO benefit from ALK inhibitors, to provide evidence for the use of ALK inhibitors in more ovarian cancer patients with EML4-ALK fusion and promoting new ideas for the study of EML4-ALK targets in ovarian cancer.

[Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data].

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity.

Theoretical Investigations on the Molecular Magnetic Behavior of Actinide Molecules [AnPc] (An = U, Cf): Prediction of the High Magnetic Blocking Barrier and Magnetic Blocking Temperature in [CfPc].

Searching for single-molecule magnets (SMM) with large effective blocking barriers, long relaxation times, and high magnetic blocking temperatures is vitally important not only for the fundamental research of magnetism at the molecular level but also for the realization of new-generation magnetic memory unit. Actinides (An) atoms possess extremely strong spin-orbit coupling (SOC) due to their 5 orbitals, and their ground multiplets are largely split into several sublevels because of the strong interplay between the SOC of An atoms and the crystal field (CF) formed by ligand atoms. Compared to TM-based SMMs, more dispersed energy level widths of An-based SMMs will give a larger total zero field splitting (ZFS) and thus provide a necessary condition to derive a higher .