ISSN 2575-6206
Vol. 10, Issue 4, 2026October 01, 2026 CDT
Randomly Wired Neural Networks for IMRT 3D dose prediction in oropharyngeal cancer
Randomly Wired Neural Networks for IMRT 3D dose prediction in oropharyngeal cancer
Randomly Wired Neural NetworksRadiotherapy dose predictionIntensity-Modulated Radiation TherapyNeural architecture searchRandom graph neural networksDeep learningRadiation treatment planningOropharyngeal cancerMedical image analysisDose distribution prediction
Articles in Vol. 10, Issue 4, 2026
Vol. 10, Issue 4, 2026
- Randomly Wired Neural Networks for IMRT 3D dose prediction in oropharyngeal cancerDev J PakshootraKrithin J PakshootraYong H Lee
- Engineering immune cells as dynamic therapies: An evolution-guided framework for temporally programmed CAR T cellsArushi Saini
- Artificial Intelligence in genetic healthcare: toward adaptive and systems-level genomic medicineIshanvi TupiliDeekshitha RavipatiKarthik ManguBhumandeep Kour
- _In-situ_, grafted, and nonselective synthesis of Ag–TiO₂/SBA-15: Differences in catalyst properties and photocatalytic performanceWoosung Choi
- Safe host integration in islet tissue engineering for Type 1 Diabetes Mellitus: emerging technologies and a constraint-guided hybrid islet frameworkWallace Lung
- Cognitive-congestion language profiling in ADHD: lexical signal auditing and negative-manifold specificity testingSieun Ju
- Predicted-gender information in ASD facial-image classification: multitask performance, shuffled-label controls, and representation analysisAaryan VermaClayton Greenberg
- When do drug holidays delay resistance? A calibrated model of BRAF V600E melanomaEthan Y Yang
- Evolution-informed rescue drug design: exploiting acquired resistance to develop more selective and resistance-durable targeted therapiesAdiv Patel
Pakshootra, Dev J, Krithin J Pakshootra, and Yong H Lee. 2026. “Randomly Wired Neural Networks for IMRT 3D Dose Prediction in Oropharyngeal Cancer.” Journal of High School Science 10 (4): 1–28. https://doi.org/10.64336/001c.171976.