Results 281 to 290 of about 3,019,224 (363)

Exosomal Liquid Biopsy for the Early Detection of Gastric Cancer: The DESTINEX Multicenter Study.

JAMA Surg
Sui S, Xu C, Kanda M, Okugawa Y, Toiyama Y, Park JO, Hur H, Kim SC, Taketomi A, Kodera Y, Cheng X, Li M, Goel A.   +12 more
europepmc   +1 more source

Final amendment: A plausible explanation for in silico reporting of erroneous MET gene expression in tumor-educated platelets (TEP) intended for "liquid biopsy" of non-small cell lung carcinoma still refutes the TEP-study

, 2017
Sandeep Chakraborty
openalex   +1 more source

In vitro assessment of FK 506 immunosuppressive activity in transplant patients [PDF]

, 1991
Abu-Elmagd, K, Alessiani, M, Demetris, AJ, Duquesnoy, RJ, Eiras, G, Fung, J, Jain, A, Starzi, T, Todo, S, Venkataramanan, R, Warty, V, Woan, M, Zeevi, A, Zerbe, T   +13 more
core  

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Tracing the history of clinical practice of liquid biopsy: a bibliometric analysis. [PDF]

Front Immunol
Zhang S, Zhao H, Wang K, Li L, Pan Q, Lu M, Zhang X.   +6 more
europepmc   +1 more source

Multiple Sampling Capsule Robot for Studying Gut Microbiome

Advanced Intelligent Systems, EarlyView.
A multiple sampling capsule robot (MSCR) is developed for longitudinal gut microbiome analysis. Employing electromagnetic field control, the MSCR can locomote actively, precisely align the selected channel, and collect up to six microbiome samples with minimal cross‐contamination.
Sanghyeon Park, Manh Cuong Hoang, Jayoung Kim, Sukho Park   +3 more
wiley   +1 more source

Advances in ocular aging: combining deep learning, imaging, and liquid biopsy biomarkers. [PDF]

Front Med (Lausanne)
Zhang D, Li N, Li F.
europepmc   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro   +11 more
wiley   +1 more source