Cancer Cell Line Classification Using Raman Spectroscopy of Cancer-Derived Exosomes and Machine Learning

Autors: Villazon, Jorge, Dela Cruz, Nathaniel, Shi, Lingyan

Font: Analytical Chemistry. 97(13)

Matèria: Biomedical and Clinical Sciences, Chemical Sciences, Oncology and Carcinogenesis, Precision Medicine, Cancer, Prevention, Machine Learning and Artificial Intelligence, Clinical Research, 4.1 Discovery and preclinical testing of markers and technologies, Humans, Spectrum Analysis, Raman, Exosomes, Machine Learning, Cell Line, Tumor, Principal Component Analysis, Discriminant Analysis, Neoplasms, Lipids, Analytical Chemistry, Other Chemical Sciences, Medical biochemistry and metabolomics, Analytical chemistry, Chemical engineering

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/46g9v6jj
https://escholarship.org/content/qt46g9v6jj/qt46g9v6jj.pdf

Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings via Deep Neural Networks

Autors: Bai, Zhe, Wei, Xishuo, Tang, William, Oliker, Leonid, Lin, Zhihong, Williams, Samuel

Matèria: Information and Computing Sciences, Machine Learning, Bioengineering, Networking and Information Technology R&D (NITRD), Machine Learning and Artificial Intelligence, Applied computing, Machine learning

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/42r218zx
https://escholarship.org/content/qt42r218zx/qt42r218zx.pdf

Unsupervised Learning for Improved Gamma-Ray Spectrometry in Pixelated Cadmium Zinc Telluride (CZT) Detectors

Autors: Aversano, G, Parrilla, HS, Hellfeld, D, Vavrek, JR

Font: Nuclear Science and Engineering. 199(sup1)

Matèria: Engineering, Resources Engineering and Extractive Metallurgy, Networking and Information Technology R&D (NITRD), Bioengineering, Machine Learning and Artificial Intelligence, Affordable and Clean Energy, Radiation detection, CZT, cadmium zinc telluride, machine learning, unsupervised learning, NSD-Applied Nuclear Physics, Interdisciplinary Engineering, Energy, Resources engineering and extractive metallurgy

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/2km4492n
https://escholarship.org/content/qt2km4492n/qt2km4492n.pdf

Quantum Chemical Density Matrix Renormalization Group Method Boosted by Machine Learning

Autors: Golub, Pavlo, Yang, Chao, Vlček, Vojtěch, Veis, Libor

Font: The Journal of Physical Chemistry Letters. 16(13)

Matèria: Quantum Physics, Chemical Sciences, Physical Sciences, Theoretical and Computational Chemistry, Machine Learning and Artificial Intelligence, Networking and Information Technology R&D (NITRD), Chemical sciences, Physical sciences

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/2r8757gr
https://escholarship.org/content/qt2r8757gr/qt2r8757gr.pdf

Quantifying the relationship between cell proliferation and morphology during development of the face.

Autors: Lo Vercio, Lucas D, Green, Rebecca M, Dauter, Andreas, Barretto, Elizabeth C, Vidal-García, Marta, Devine, Jay, Marchini, Marta, Robertson, Samuel, Zhao, Xiang, Mahika, Anandita, Shakir, M Bilal, Guo, Sienna, Boughner, Julia C, Szabo-Rogers, Heather, Dean, Wendy, Lander, Arthur D, Marcucio, Ralph S, Forkert, Nils D, Hallgrímsson, Benedikt

Font: Development. 152(7)

Matèria: Biochemistry and Cell Biology, Biological Sciences, Pediatric, Biomedical Imaging, Networking and Information Technology R&D (NITRD), Bioengineering, Machine Learning and Artificial Intelligence, 1.1 Normal biological development and functioning, Generic health relevance, Animals, Cell Proliferation, Mice, Face, Morphogenesis, Imaging, Three-Dimensional, Machine Learning, Embryo, Mammalian, Convolutional neural networks, Developmental biology, Image segmentation, Light-sheet imaging, Morphometrics, Mouse embryo, Medical and Health Sciences, Biological sciences, Biomedical and clinical sciences, Health sciences

URL d'accés: https://escholarship.org/uc/item/2vr8268p

Spatial deep convolutional neural networks

Autors: Wang, Qi, Parker, Paul A, Lund, Robert

Matèria: Mathematical Sciences, Statistics, Bioengineering, Machine Learning and Artificial Intelligence, Networking and Information Technology R&D (NITRD), 1.4 Methodologies and measurements, Basis functions, Deep learning, Dependent data, Dropout layers, Keras, Artificial Intelligence and Image Processing

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/8hz2k0xv
https://escholarship.org/content/qt8hz2k0xv/qt8hz2k0xv.pdf

Machine learning for reactor power monitoring with limited labeled data

Autors: Stewart, CL, Goldblum, BL, Abbott, RG, Appleby, L, Borghetti, BJ, Hollingshead, V, Whetzel, JH

Matèria: Nuclear and Plasma Physics, Physical Sciences, Machine Learning and Artificial Intelligence, Classification, Nuclear reactor power monitoring, Transfer learning, Self-learning, Multisensor arrays, Astronomical and Space Sciences, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Other Physical Sciences, Nuclear & Particles Physics, Nuclear and plasma physics

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/295787zv
https://escholarship.org/content/qt295787zv/qt295787zv.pdf

Semi-automatic image annotation using 3D LiDAR projections and depth camera data

Autors: Li, Pei Yao, Parrilla, Nicholas A, Salathe, Marco, Joshi, Tenzing H, Cooper, Reynold J, Park, Ki, Sudderth, Asa V

Matèria: Fluid Mechanics and Thermal Engineering, Engineering, Resources Engineering and Extractive Metallurgy, Networking and Information Technology R&D (NITRD), Machine Learning and Artificial Intelligence, NSD-Applied Nuclear Physics, Other Physical Sciences, Interdisciplinary Engineering, Energy, Fluid mechanics and thermal engineering, Resources engineering and extractive metallurgy

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/3398k4bn
https://escholarship.org/content/qt3398k4bn/qt3398k4bn.pdf

State of the Art of Artificial Intelligence in Clinical Electrophysiology in 2025. A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), and the ESC Working Group in e-Cardiology

Autors: Svennberg, E, Han, JK, Caiani, EG, Engelhardt, S, Ernst, S, Friedman, P, Garcia, R, Ghanbari, H, Hindricks, G, Man, SH, Millet, J, Narayan, SM, Ng, GA, Noseworthy, PA, Tjong, FVY, Ramírez, J, Singh, JP, Trayanova, N, Duncker, D

Matèria: Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Machine Learning and Artificial Intelligence, Heart Disease, Cardiovascular, Good Health and Well Being, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/4zc9d1cm
https://escholarship.org/content/qt4zc9d1cm/qt4zc9d1cm.pdf

Predicting nonequilibrium Green’s function dynamics and photoemission spectra via nonlinear integral operator learning

Autors: Zhu, Yuanran, Yin, Jia, Reeves, Cian C, Yang, Chao, Vlček, Vojtěch

Font: Machine Learning: Science and Technology. 6(1)

Matèria: Information and Computing Sciences, Applied Computing, Machine Learning, Machine Learning and Artificial Intelligence, operator-learning, nonequilibrium quantum many-body theory, nonlinear integro-differential equation, dynamics reduction, Applied computing, Machine learning

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/6wx407j1
https://escholarship.org/content/qt6wx407j1/qt6wx407j1.pdf

Stabilizing Ru in Multicomponent Alloy as Acidic Oxygen Evolution Catalysts with Machine Learning-Enabled Structural Insights and Screening

Autors: Maulana, Arifin Luthfi, Han, Shuang, Shan, Yu, Chen, Peng-Cheng, Lizandara-Pueyo, Carlos, De, Sandip, Schierle-Arndt, Kerstin, Yang, Peidong

Font: Journal of the American Chemical Society. 147(12)

Matèria: Macromolecular and Materials Chemistry, Chemical Sciences, Engineering, Materials Engineering, Nanotechnology, Machine Learning and Artificial Intelligence, General Chemistry, Chemical sciences

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/55x2k2r4
https://escholarship.org/content/qt55x2k2r4/qt55x2k2r4.pdf

Evaluating the robustness of deep learning models trained to diagnose idiopathic pulmonary fibrosis using a retrospective study

Autors: Yu, Wenxi, McNitt‐Gray, Michael F, Goldin, Jonathan G, Song, Jin Woo, Kim, Grace Hyun J

Matèria: Medical and Biological Physics, Physical Sciences, Autoimmune Disease, Machine Learning and Artificial Intelligence, Bioengineering, Lung, Rare Diseases, Biomedical Imaging, Clinical Research, Networking and Information Technology R&D (NITRD), 4.1 Discovery and preclinical testing of markers and technologies, 7.3 Management and decision making, Respiratory, CT, deep learning, idiopathic pulmonary fibrosis, imaging protocols, medical imaging, robustness, Other Physical Sciences, Biomedical Engineering, Oncology and Carcinogenesis, Nuclear Medicine & Medical Imaging, Biomedical engineering, Medical and biological physics

URL d'accés: https://escholarship.org/uc/item/6v26z3xv

Invited: Mapping Two Decades of Innovation: Lessons from 25 Years of ISPD Research

Autors: Rahmaniani, Gona, Guthaus, Matthew, Behjat, Laleh

Matèria: Information and Computing Sciences, Engineering, Electrical Engineering, Electronics, Sensors and Digital Hardware, Networking and Information Technology R&D (NITRD), Machine Learning and Artificial Intelligence

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/8kx3k212
https://escholarship.org/content/qt8kx3k212/qt8kx3k212.pdf

I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey

Autors: Lewis, Noah, Bez, Jean Luca, Byna, Surendra

Matèria: Distributed Computing and Systems Software, Information and Computing Sciences, Machine Learning and Artificial Intelligence, Networking and Information Technology R&D (NITRD), Data Science, Bioengineering, Information Systems, Information and computing sciences

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/8tc828xw
https://escholarship.org/content/qt8tc828xw/qt8tc828xw.pdf

Machine learning driven search of hydrogen storage materials

Autors: Banerjee, Tanumoy, Ji, Kevin, Xia, Weiyi, Ouyang, Gaoyuan, Del Rose, Tyler, Hlova, Ihor Z, Ueland, Benjamin, Johnson, Duane D, Wang, Cai-Zhuan, Balasubramanian, Ganesh, Singh, Prashant

Matèria: Engineering, Materials Engineering, Chemical Sciences, Physical Chemistry, Machine Learning and Artificial Intelligence, Affordable and Clean Energy

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/0nj0k5sc
https://escholarship.org/content/qt0nj0k5sc/qt0nj0k5sc.pdf

Stratifying risk of Alzheimer’s disease in healthy middle-aged individuals with machine learning

Autors: Tandon, Raghav, Zhao, Liping, Watson, Caroline M, Sarkar, Neel, Elmor, Morgan, Heilman, Craig, Sanders, Katherine, Hales, Chadwick M, Yang, Huiying, Loring, David W, Goldstein, Felicia C, Hanfelt, John J, Duong, Duc M, Johnson, Erik CB, Wingo, Aliza P, Wingo, Thomas S, Roberts, Blaine R, Seyfried, Nicholas T, Levey, Allan I, Lah, James J, Mitchell, Cassie S

Font: Brain Communications. 7(2)

Matèria: Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Acquired Cognitive Impairment, Prevention, Alzheimer's Disease, Neurodegenerative, Machine Learning and Artificial Intelligence, Brain Disorders, Dementia, Aging, 2.1 Biological and endogenous factors, Neurological, asymptomatic Alzheimer's disease, CSF proteomics, disease progression, machine learning, risk stratification, asymptomatic Alzheimer’s disease, Clinical sciences, Biological psychology

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/7n55538g
https://escholarship.org/content/qt7n55538g/qt7n55538g.pdf

Distinct spatiotemporal atrophy patterns in corticobasal syndrome are associated with different underlying pathologies

Autors: Scotton, William J, Shand, Cameron, Todd, Emily G, Bocchetta, Martina, Kobylecki, Christopher, Cash, David M, VandeVrede, Lawren, Heuer, Hilary W, Quaegebeur, Annelies, Young, Alexandra L, Oxtoby, Neil, Alexander, Daniel, Rowe, James B, Morris, Huw R, Boeve, Bradley F, Dickerson, Brad C, Tartaglia, Carmela M, Litvan, Irene, Grossman, Murray, Pantelyat, Alexander, Huey, Edward D, Irwin, David J, Fagan, Anne, Baker, Suzanne L, Toga, Arthur W, Boxer, Adam L, Jabbari, Edwin, Jensen, Marte Theilmann, Lux, Danielle, Fumi, Riona, Vaughan, David P, Houlden, Henry, Hu, Michele TM, Leigh, Peter N, Rohrer, Jonathan D, Wijeratne, Peter A

Font: Brain Communications. 7(2)

Matèria: Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Alzheimer's Disease Related Dementias (ADRD), Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Rare Diseases, Biomedical Imaging, Precision Medicine, Dementia, Brain Disorders, Neurodegenerative, Acquired Cognitive Impairment, Aging, Frontotemporal Dementia (FTD), Machine Learning and Artificial Intelligence, 4.1 Discovery and preclinical testing of markers and technologies, 2.1 Biological and endogenous factors, 4.2 Evaluation of markers and technologies, Neurological, subtype and stage inference, disease progression, corticobasal syndrome, biomarkers, machine learning, PROSPECT Consortium, 4RTNI Consortium, Clinical sciences, Biological psychology

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/1tg4d2gq
https://escholarship.org/content/qt1tg4d2gq/qt1tg4d2gq.pdf

Accurate, Robust, and Scalable Machine Abstraction of Mayo Endoscopic Subscores From Colonoscopy Reports

Autors: Silverman, Anna L, Bhasuran, Balu, Mosenia, Arman, Yasini, Fatema, Ramasamy, Gokul, Banerjee, Imon, Gupta, Saransh, Mardirossian, Taline, Narain, Rohan, Sewell, Justin, Butte, Atul J, Rudrapatna, Vivek A

Font: Inflammatory Bowel Diseases. 31(3)

Matèria: Biomedical and Clinical Sciences, Clinical Sciences, Autoimmune Disease, Clinical Research, Inflammatory Bowel Disease, Digestive Diseases, Cancer, Machine Learning and Artificial Intelligence, Humans, Colonoscopy, Colitis, Ulcerative, Male, Female, Machine Learning, Algorithms, Middle Aged, Adult, Severity of Illness Index, ulcerative colitis, endoscopic disease activity scores, natural language processing, healthcare applied AI, Gastroenterology & Hepatology, Clinical sciences

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/61h2j9mk
https://escholarship.org/content/qt61h2j9mk/qt61h2j9mk.pdf

A comparative analysis of image harmonization techniques in mitigating differences in CT acquisition and reconstruction

Autors: Yadav, Anil, Welland, Spencer, Hoffman, John M, Kim, Grace Hyun J, Brown, Matthew S, Prosper, Ashley E, Aberle, Denise R, McNitt-Gray, Michael F, Hsu, William

Font: Physics in Medicine and Biology. 70(5)

Matèria: Medical and Biological Physics, Physical Sciences, Biomedical Imaging, Networking and Information Technology R&D (NITRD), Bioengineering, Machine Learning and Artificial Intelligence, Tomography, X-Ray Computed, Image Processing, Computer-Assisted, Humans, Neural Networks, Computer, Retrospective Studies, Lung, Signal-To-Noise Ratio, Computed Tomography, Image Reconstruction, Harmonization, Convolutional Neural Network, Generative Adversarial Network, Other Physical Sciences, Biomedical Engineering, Clinical Sciences, Nuclear Medicine & Medical Imaging, Medical and biological physics

Descripció del fitxer: application/pdf

URL d'accés: https://escholarship.org/uc/item/0x41r424
https://escholarship.org/content/qt0x41r424/qt0x41r424.pdf

Health equity in the era of large language models.

Autors: Tierney, Aaron A, Reed, Mary E, Grant, Richard W, Doo, Florence X, Payán, Denise D, Liu, Vincent X

Font: The American Journal of Managed Care. 31(3)

Matèria: Health Services and Systems, Public Health, Health Sciences, Networking and Information Technology R&D (NITRD), Clinical Research, Social Determinants of Health, Machine Learning and Artificial Intelligence, Health Disparities, 8.1 Organisation and delivery of services, Generic health relevance, Humans, Health Equity, Artificial Intelligence, United States, Health Services Accessibility, Language, Delivery of Health Care, Trust, Public Health and Health Services, Health Policy & Services, Health services and systems

URL d'accés: https://escholarship.org/uc/item/54s1v623