FLASH Radiotherapy: From In Vivo Data to Clinical Translation.

Delivery of radiotherapy (RT) at ultra-high dose rates or FLASH radiotherapy (FLASH-RT) is an emerging treatment option for patients with cancer that could increase survival outcomes and quality of life. In vivo data across a multitude of normal tissues and associated tumors have been published demonstrating the FLASH effect while bringing attention to the need for additional research. Combination of FLASH-RT with other treatment options including spatially fractionated RT, immunotherapy, and usage in the setting of reirradiation could also provide additional benefit.

Development and Implementation of Digital Health Tools in Radiation Oncology: A Rapid Review.

A rapid review of 21 studies into 20 unique digital health tools found significant benefits to utilizing the following 4 categories of tools: (1) educational videos increased patient knowledge of radiotherapy (RT) and reduced treatment-related anxiety; (2) extended reality tools improved patient understanding of RT and reduced anxiety, with virtual reality coaching enhancing tumor motion reproducibility during CT simulation; (3) digital patient engagement tools helped patients manage treatment symptoms, increased health literacy, and improved quality of life; (4) an electronic feedback form decreased patient anxiety and increased RT knowledge. Most interventions were single-use and implemented before the start of RT.

Artificial Intelligence, Machine Learning and Big Data in Radiation Oncology.

This review explores the applications of artificial intelligence and machine learning (AI/ML) in radiation oncology, focusing on computer vision (CV) and natural language processing (NLP) techniques. We examined CV-based AI/ML in digital pathology and radiomics, highlighting the prospective clinical studies demonstrating their utility. We also reviewed NLP-based AI/ML applications in clinical documentation analysis, knowledge assessment, and quality assurance.

Role of eggplant trichome in whitefly oviposition and its relevance to biological control under greenhouse conditions.

The combined release of the predatory mite Amblyseius swirskii (Athias-Henriot) and the mirid Nesidiocoris tenuis (Reuter) provides effective biological control of the tobacco whitefly (Bemisia tabaci (Gennadius)) in greenhouse eggplant. However, knowing how plants' trichomes affect pest-predator interactions could improve whitefly management. Here, the effect of two varieties with either the presence or absence of trichomes was assessed on naturally occurring whitefly populations and predator abundance in a first experiment under field conditions.