Publications by authors named "T A Black"

Our understanding of the implications of gestational Cannabis exposure (GCE) remains unclear as Cannabis use increases worldwide. Much of the existing knowledge of the effects of GCE has been gained from preclinical experiments using injections of isolated Δ-tetrahydrocannabinol (THC) at relatively high doses. Few investigations of the effects of GCE to smoke from the whole Cannabis flower have been conducted, despite this being the most common mode of human consumption.

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We present the case of a 42-year-old Indian male with prurigo nodularis, exhibiting multiple verrucous, brownish-black nodules on the left lower and right upper extremities, with milder involvement of the right lower extremity. The lesions were asymmetrically distributed in a near-linear pattern, with prominent white hyperkeratosis and associated moderate pruritus and paresthesia. Differential diagnoses included pemphigoid nodularis, verruca vulgaris, and hypertrophic lichen planus, with a biopsy confirming prurigo nodularis.

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Nursing is an essential part of our health care system workforce. Cardiovascular and stroke nursing represents one of the largest specialty areas requiring expert knowledge and clinical proficiency to ensure safety and quality patient outcomes. To support the growth and sustainability of the various nursing roles in clinical practice, academia, and research, it is vital to attract, engage, mentor, and retain nurses.

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The clinical efficacy of combination drug regimens containing the first-generation diarylquinoline (DARQ) bedaquiline in the treatment of multidrug-resistant tuberculosis has validated ATP synthesis as a vulnerable pathway in . New DARQs in clinical development may be even more effective than bedaquiline, including against emerging bedaquiline-resistant strains. Telacebec (T) is a novel cytochrome bc:aa oxidase inhibitor that also inhibits ATP synthesis.

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Violence, verbal abuse, threats, and sexual harassment of healthcare providers by patients is a major challenge for healthcare organizations around the world, contributing to staff turnover, distress, absenteeism, reduced job satisfaction, and worsening mental and physical health. To enable interventions prior to possible violent episodes, we trained two deep learning models to predict violence against healthcare workers 3 days prior to violent events for case and control patients. The first model is a document classification model using clinical notes, and the second is a baseline regression model using largely structured data.

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