Transition from point A to volume based image guided brachytherapy across a network of centers in India through workshop and mentoring.

Aim: To demonstrate how workshop and mentoring across a network of radiotherapy centers helped in transitioning from point A to volume-based image guided brachytherapy in carcinoma cervix.

Materials And Methods: Based on discussion with different centers across the network, the lapses in cervical cancer treatment were identified and a workshop was designed to change the practice pattern. The main focus of the workshop was to streamline EBRT dose prescription protocols and implement volume based image guided brachytherapy through mentoring and hands on training.

Assessment of cervical spine CT by an image quality audit using qualitative and quantitative methods.

Introduction: To study the feasibility and assess the correlation of qualitative and quantitative methods for an image quality (IQ) audit of a Cervical spine CT.

Methods: Five radiologists retrospectively performed a blinded visual grading analysis (VGA) on 20 studies (10 from Protocol 1 and 10 from Protocol 2), using the RANZCR CT IQ Self-Audit worksheet. A Visual Grading Analysis Score (VGAS) and Area under the curve using Visual Grading Characteristics (AUC) were the figures of merit.

Acceptability and Engagement of a Smartphone-Delivered Interpretation Bias Intervention in a Sample of Black and Latinx Adults: Open Trial.

Background: Access to evidence-based interventions is urgently required, especially for individuals of minoritized identities who experience unique barriers to mental health care. Digital mental health interventions have the potential to increase accessibility. Previous pilot studies testing HabitWorks, a smartphone app providing an interpretation bias intervention, have found strong engagement and adherence for HabitWorks; however, previous trials' samples consisted of predominantly non-Hispanic, White individuals.

Exploring and retrieving sequence and metadata for species across the tree of life with NCBI Datasets.

To explore complex biological questions, it is often necessary to access various data types from public data repositories. As the volume and complexity of biological sequence data grow, public repositories face significant challenges in ensuring that the data is easily discoverable and usable by the biological research community. To address these challenges, the National Center for Biotechnology Information (NCBI) has created NCBI Datasets.