Results 191 to 200 of about 1,737,953 (277)

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Use of Complementary and Alternative Medicine in the Management of Breast Cancer.

JAMA Netw Open
Ayoade OF, Caturegli G, Canavan ME, Resio BJ, Berger ER, Boffa DJ.   +5 more
europepmc   +1 more source

Analysis of 386 alternative medicinal products implicated in liver injury reveal clinically relevant associations with potentially hepatotoxic botanicals, pharmaceutical adulteration, heavy metal contamination, and undisclosed animal content. [PDF]

Front Gastroenterol (Lausanne)
Philips CA, Oommen TT, Theruvath AH, Sreemohan A, Baby A, Ahamed R, Tharakan A, Augustine P.   +7 more
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Prevalence of complementary and alternative medicine use among osteoarthritis patients in a developing country and their level of satisfaction. [PDF]

Sci Rep
Jaber M, Hamza W, Asab TA, Abuhalima D, Hanani A, Abdallah M, Jaber MM, Zyoud SH.   +7 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

In Ovo CAM-Based Xenograft Model for Investigating Tumor Developmental Biology in Breast Cancer. [PDF]

Bio Protoc
Patiño Morales CC, González de La Rosa CH, Jaime-Cruz R, Salazar-García M, Villavicencio Guzmán L, Herrera-Vargas AK.   +5 more
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Perspectives on the formalisation of complementary and alternative medicine among current users with prostate cancer: a study at Korle-Bu Teaching Hospital, Ghana. [PDF]

BMC Complement Med Ther
Osei B, Laari L, Kyei JM.
europepmc   +1 more source