CONCLUSIONS: Most TAS brands have had limited application in clinical settings, and most studies have included healthy adults rather than people with AUD. TAS has the potential to enhance treatment outcomes in clinical alcohol treatment. The accuracy, acceptability, and feasibility of TAS for people with AUD in clinical settings need to be investigated. This is… →
CONCLUSIONS: This randomized, double-blind, placebo-controlled trial aims to provide definitive evidence for the treatment of CSU with ACE and explore the mechanism of ACE. We hypothesize that wheals and itching will show greater improvement in participants receiving active therapy than in those receiving sham treatment. The limitations of this study include its single-center trial design,… →
In AI, developing language models that can efficiently and accurately perform diverse tasks while ensuring user privacy and ethical considerations is a significant challenge. These models must handle various data types and applications without compromising performance or security. Ensuring that these models operate within ethical frameworks and maintain user trust adds another layer of complexity… →
CONCLUSIONS: Adding an SMS text message reminder to the standard procedure significantly increased FIT kit return rates and was a cost-effective strategy. SMS text messages also proved to be an acceptable and appropriate communication channel for cancer screening programs. →
CONCLUSION: In HFrEF patients with AF and PM/ICD with high RV pacing burden, CRT-D upgrade decreased the risk of HFH and improved reverse remodelling when compared with ICD, similar to that seen in patients in SR. →
CONCLUSION: Dual-chamber CLS in patients with SND is associated with a significantly lower AHRE incidence than conventional DDDR pacing. →
CONCLUSION: The novel hexaspline PFA catheter demonstrated universal acute PVI with an excellent safety profile and promising 12-month freedom from recurrent atrial arrhythmias in an Asian/Chinese population with paroxysmal AF. →
Meta has introduced SAM 2, the next generation of its Segment Anything Model. Building on the success of its predecessor, SAM 2 is a groundbreaking unified model designed for real-time promptable object segmentation in images and videos. SAM 2 extends the original SAM’s capabilities, primarily focused on images. The new model seamlessly integrates with video… →