Nitrate, Nitrite, and Iodine Concentrations in Commercial Edible Algae: An Observational Study.

Edible algae are a natural source of nutrients, including iodine, and can also contain nitrogen in the form of nitrate (NO) and nitrite (NO) as they can fix nitrogen from seawater. This study aimed to analyse the NO, NO, and iodine concentrations in eighteen macroalgae and five microalgae species commercially available in the United Kingdom. NO and NO concentrations were measured using high-performance liquid chromatography (HPLC), and iodine was determined using inductively coupled plasma mass spectrometry (ICP-MS).

RECOVER identifies synergistic drug combinations in vitro through sequential model optimization.

For large libraries of small molecules, exhaustive combinatorial chemical screens become infeasible to perform when considering a range of disease models, assay conditions, and dose ranges. Deep learning models have achieved state-of-the-art results in silico for the prediction of synergy scores. However, databases of drug combinations are biased toward synergistic agents and results do not generalize out of distribution.

Pathogenic and Saprophytic Growth Rates of f. sp. Interact to Affect Variation in Inoculum Density and Interannual Infection Risk.

Fusarium wilt of cotton caused by the soilborne fungal pathogen f. sp. race 4 (FOV4) is a contemporary epidemic affecting cotton production in Far West Texas.

Utilizing graph machine learning within drug discovery and development.

Graph machine learning (GML) is receiving growing interest within the pharmaceutical and biotechnology industries for its ability to model biomolecular structures, the functional relationships between them, and integrate multi-omic datasets - amongst other data types. Herein, we present a multidisciplinary academic-industrial review of the topic within the context of drug discovery and development. After introducing key terms and modelling approaches, we move chronologically through the drug development pipeline to identify and summarize work incorporating: target identification, design of small molecules and biologics, and drug repurposing.

Feasibility of Remote Occupational Therapy Services via Telemedicine in a Breast Cancer Recovery Program.

Importance: Access to perioperative breast surgery occupational therapy services remains limited in remote areas.

Objective: To assess the feasibility and acceptance of occupational therapy services using a "hub-and-spoke" telemedicine model.

Design: Prospective study using videoconferencing to connect the occupational therapist, located at the hub site, with the patient, located at the spoke site.