Results 121 to 130 of about 203,299 (265)

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source

The Malignant Transformation Rate of Oral Carcinoma In Situ. [PDF]

Laryngoscope
Meci A, Goyal N, Goldenberg D.
europepmc   +1 more source

Real‐World Treatment and Outcomes in Resectable Early‐Stage Non‐Small Cell Cancer: THASSOS‐INTL Australia Cohort

AGING MEDICINE, EarlyView.
Australia cohort of THASSOS‐INTL; non‐interventional, multicenter, retrospective study provides insights into treatment patterns and associated survival outcomes in patients with resectable stage I‐III NSCLC in the pre‐immunotherapy era. Neoadjuvant and adjuvant therapy was reported in < 10% and < 40% patients, respectively.
Pei Ding, Kevin Jasas, Victoria Bray, Abhijit Pal, Rebecca Moor   +4 more
wiley   +1 more source

Breast Events After Treatment of Ductal Carcinoma In Situ in Women: A Population-Based Study. [PDF]

Cancer Med
Chen Q, Campbell I, Elwood M, Cavadino A, Aye PS, Tin Tin S.   +5 more
europepmc   +1 more source

Pancreatic Atrophy: A Narrative Review and Surgical Interpretation

Annals of Gastroenterological Surgery, EarlyView.
Pancreatic parenchymal atrophy pattern and intraoperative margin assessment guide surgical strategy. ABSTRACT Despite recent advances in multimodal management, pancreatic ductal adenocarcinoma remains a fatal malignancy. Early detection of indirect findings of pancreatic ductal adenocarcinoma is essential to improve treatment outcomes, drawing ...
Rika Fujino, Ken‐ichi Okada, Yohei Masugi, Eisuke Iwasaki, Masaki Mori   +4 more
wiley   +1 more source

Treatment of Biopsy-Proven Laryngeal Squamous Cell Carcinoma In Situ. [PDF]

Laryngoscope Investig Otolaryngol
Kaki PC, Patel AM, Huang L, Turner G, Haleem A, Brant JA, Brody RM, Carey RM.   +7 more
europepmc   +1 more source

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

Factors Associated with Low-Dose Tamoxifen Use among Women with Atypical Hyperplasia or Lobular or Ductal Carcinoma In Situ. [PDF]

Cancer Prev Res (Phila)
Deshmukh MS, Kyle MH, Zeiger PJ, Ro V, McGuinness JE, Michel A, Eli R, Kukafka R, Crew KD.   +8 more
europepmc   +1 more source

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

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source