A Novel Affordable and Reliable Framework for Accurate Detection and Comprehensive Analysis of Somatic Mutations in Cancer.

Accurate detection and analysis of somatic variants in cancer involve multiple third-party tools with complex dependencies and configurations, leading to laborious, error-prone, and time-consuming data conversions. This approach lacks accuracy, reproducibility, and portability, limiting clinical application. was developed to address these issues as an end-to-end pipeline for detecting, classifying, and interpreting cancer mutations.

FELASA Working Group report: Capture and transport of live cephalopods - recommendations for scientific purposes.

On 1 January 2013, research using cephalopod molluscs, from hatchlings to adults, became regulated within Directive 2010/63/EU. There are significant difficulties in captive breeding in the great majority of currently utilised species. Thus, scientific research relies upon the use of wild-caught animals.

Management of patients with extensive locally advanced thyroid cancer: results of multimodal treatments.

Purpose: Surgery plays a key role in the treatment of thyroid cancer (TC) patients. Locally advanced cases, however, can require an extensive surgical approach with technical issues and a high risk of complications. In these cases, a multidisciplinary evaluation should be carried out to evaluate pros and cons.

Ultrasound features and risk stratification system in NIFT-P and other follicular-patterned thyroid tumors.

Objective: Noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFT-P) is an encapsulated follicular variant of papillary thyroid carcinoma (PTC) with nonaggressive clinical behavior. However, since its diagnosis is exclusively possible after surgery, it represents a clinical challenge. Neck ultrasound (US) shows good sensitivity and specificity in suggesting malignancy in thyroid nodules.

"Hey Alexa, what do you know about the COVID-19 vaccine?"- (Mis)perceptions of mass immunization and voice assistants.

In this paper, we analyzed the perceived accuracy of COVID-19 vaccine information spoken back by Amazon Alexa. Unlike social media, Amazon Alexa does not apply soft moderation to unverified content, allowing for use of third-party malicious skills to arbitrarily phrase COVID-19 vaccine information. The results from a 210-participant study suggest that a third-party malicious skill could successful reduce the perceived accuracy among the users of information as to who gets the vaccine first, vaccine testing, and the side effects of the vaccine.