A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy.

Background: Palliative spine radiation therapy is prone to treatment at the wrong anatomic level. We developed a fully automated deep learning-based spine-targeting quality assurance system (DL-SpiQA) for detecting treatment at the wrong anatomic level. DL-SpiQA was evaluated based on retrospective testing of spine radiation therapy treatments and prospective clinical deployment.

Development of a Machine Learning Tool to Predict Deep Inspiration Breath Hold Requirement for Locoregional Right-Sided Breast Radiation Therapy Patients.

This study presents machine learning (ML) models that predict if deep inspiration breath hold (DIBH) is needed based on lung dose in right-sided breast cancer patients during the initial computed tomography (CT) appointment. Materials and methods. Anatomic distances were extracted from a single-institution dataset of free breathing (FB) CT scans from locoregional right-sided breast cancer patients.

Structure and stability of an apo thermophilic esterase that hydrolyzes polyhydroxybutyrate.

Pollution from plastics is a global problem that threatens the biosphere for a host of reasons, including the time scale that it takes for most plastics to degrade. Biodegradation is an ideal solution for remediating bioplastic waste as it does not require the high temperatures necessary for thermal degradation and does not introduce additional pollutants into the environment. Numerous organisms can scavenge for bioplastics, such as polylactic acid (PLA) or poly-(R)-hydroxybutyrate (PHB), which they can use as an energy source.

Parental mental health during preconception years in association with offspring attention deficit hyperactivity disorder (ADHD): a systematic review protocol.

Introduction: Attention deficit hyperactivity disorder (ADHD) is a neuropsychiatric condition prevalent in both children and adults. With growing awareness of the importance of the preconception period in health, it is essential to understand whether preconception parental mental health and related factors are related to onset of offspring ADHD. This protocol presents the methodology for undertaking a systematic review to investigate associations between parental mental health and/or psychotropic use during the preconception years and offspring ADHD.