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Machine learning application to predict binding affinity between peptide containing non-canonical amino acids and HLA-A0201

2025 . Jiang, Shan | Su, Zhaoqian | Bloodworth, Nathaniel | Liu, Yunchao | Martina, Cristina E. | Harrison, David G. | Meiler, Jens

Advancing patient care: Machine learning models for predicting grade 3+ toxicities in gynecologic cancer patients treated with HDR brachytherapy

2025 . Portocarrero Bonifaz, Andres | Syed, Salman | Kassel, Maxwell | McKenzie, Grant W. | Shah, Vishwa M. | Forry, Bryce M. | Gaskins, Jeremy | Sowards, Keith | Avula, Thulasi Babitha | Masters, Adrianna | Schneider, Jose G. | Silva, Scott

Integrating multimodal imaging and peritumoral features for enhanced prostate cancer diagnosis: A machine learning approach

2025 . Zhou, Huadi | Xie, Mei | Shi, Hemiao | Shou, Chenhan | Tang, Meng | Zhang, Yue | Hu, Yue | Liu, Xiao

Combining evolutionary computation with machine learning technique for improved short-term prediction of UT1-UTC and length-of-day

2024 . Dhar, Sujata | Heinkelmann, Robert | Belda, Santiago | Modiri, Sadegh | Schuh, Harald | Guessoum, Sonia | Ferrándiz, José Manuel | Balasubramanian, Nagarajan | Dikshit, Onkar

MRI of kidney size matters

2024 . Niendorf, Thoralf | Gladytz, Thomas | Cantow, Kathleen | Klein, Tobias | Tasbihi, Ehsan | Velasquez Vides, Jose Raul | Zhao, Kaixuan | Millward, Jason | Waiczies, Sonia | Seeliger, Erdmann

Artificial intelligence in the care of children and adolescents with chronic diseases: a systematic review

2024 . Kerth, Janna-Lina | Hagemeister, Maurus | Bischops, Anne Christine | Reinhart, Lisa | Dukart, Juergen | Heinrichs, Bert | Eickhoff, Simon B. | Meissner, Thomas

Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features

2024 . Wenzel, Charlotte | Liebig, Thomas | Swoboda, Adrian | Smolareck, Rika | Schlagheck, Marit Lea | Walzik, David | Groll, Andreas | Goulding, Richie P. | Zimmer, Philipp

METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

Digital biomarkers: 3PM approach revolutionizing chronic disease management — EPMA 2024 position

2024 . Smokovski, Ivica | Steinle, Nanette | Behnke, Andrew | Bhaskar, Sonu M. M. | Grech, Godfrey | Richter, Kneginja | Niklewski, Günter | Birkenbihl, Colin | Parini, Paolo | Andrews, Russell J. | Bauchner, Howard | Golubnitschaja, Olga

Neural digital twins: reconstructing complex medical environments for spatial planning in virtual reality

2024 . Kleinbeck, Constantin | Zhang, Han | Killeen, Benjamin D. | Roth, Daniel | Unberath, Mathias

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