Economic Impact of a Deep Learning Algorithm for Automated Head and Neck Surgery Referral Triage
This prospective cost–benefit analysis evaluated a deep learning algorithm for automated referral triage across 214 new patient referrals at a high‐volume Head and Neck Surgical Oncology center operating under a fee‐for‐service model. The algorithm reduced referral triage labor by 98.5% (displacing 0.94 FTEs per division) and identified 80 verified ...
Stephanie Younan +6 more
wiley +1 more source
Mapping Causal Biology: Mendelian Randomization in the Era of Big Data
Mendelian randomization (MR) leverages genetic variants to mitigate confounding biases in causal inference. This review systematically maps MR's methodological evolution, highlights its expanding applications in epidemiology and drug target validation, and outlines future directions for overcoming current biases through dynamic, multi‐omics, and cross ...
Xuanlu Shen +10 more
wiley +1 more source
Nonstationarity in wildlife disease dynamics: insights from the prairie dog–plague system
Ecological relationships often vary in strength and direction across ecosystems, a pattern that has become increasingly evident as ecology expands to broader spatial and temporal scales. Although such nonstationarity – the changing effect of predictor variables across spatiotemporal contexts – is widely acknowledged in ecological research, it has ...
Gabriel M. Barrile +6 more
wiley +1 more source
Transforming Coastal Waste: Algae‐Based Recycled HDPE Composites for Enhanced Sustainability
Manufacturing and characterization of composites from beach‐cast algae waste combined with recycled high‐density polyethylene. ABSTRACT Growing environmental concerns are accelerating the development of more sustainable materials. This study successfully created a composite material by combining recycled high‐density polyethylene (HDPE) as the matrix ...
Patricia Cabrera‐García +4 more
wiley +1 more source
Our study tests how soil and plant biodiversity can enhance sustainability of crop production in Kenya. We tested whether mixtures of maize varieties performed better than monocultures and tested their response to arbuscular mycorrhizal fungi. Mycorrhizal responsiveness differed significantly by maize variety, and genetic mixtures outperformed ...
Grace Ng'endo Kanyita +3 more
wiley +1 more source
Breeding for multi‐stress resilience in crops: Myth or possibility?
Climate change threatens millions of farmers worldwide by exposing crops to multiple concurrent or sequential environmental stresses such as drought, heat, waterlogging, and diseases. Although crops have long been selected under naturally occurring multi‐stress conditions, breeding pipelines largely focus on optimal or single‐stress environments ...
Hamid Khazaei +2 more
wiley +1 more source
Lightweight scalable deep learning framework for real time detection of potato leaf diseases. [PDF]
Bhavani GD, Chalapathi MMV.
europepmc +1 more source
Biomolecular Interaction Prediction in the Pre‐ and Post‐AlphaFold Era: The 8th CAPRI Evaluation
ABSTRACT We report on the 8th CAPRI Evaluation period, capturing the assessment of CAPRI Rounds 47 to 55 (excluding the CASP and COVID‐related Rounds), which have witnessed the transition to AI‐driven prediction tools such as AlphaFold and related alternatives. The prediction Rounds in this evaluation are characterized by a high level of difficulty due
Marc F. Lensink +5 more
wiley +1 more source
Blue light receptor phot2 collaborates with NRL-30 to negatively regulate immunity by reducing mitochondrial protein PRXIIF stability in potato. [PDF]
Qiu H +14 more
europepmc +1 more source
As little as 1–10% of the population is needed to be resistant for demethylation inhibitor fungicides to be rendered ineffective. Following a single round of selection, the frequency increases by more than 15% with limited fitness penalty detected when no selection is present.
Alec J McCallum +5 more
wiley +1 more source

