Results 71 to 80 of about 1,252,930 (316)

Longitudinal genome‐wide aneuploidy measurements in circulating cell‐free DNA to predict lack of benefit from pembrolizumab in patients with metastatic urothelial cancer

Molecular Oncology, EarlyView.
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi, Stavros Makrodimitris, Sandra van Wilpe, Iris te Paske, Vanja de Weerd, Corine M. Beaufort, Hans M. Westgeest, Jens Voortman, Maureen J. B. Aarts, Maud Rijnders, Astrid A. M. van der Veldt, Ronald de Wit, Niven Mehra, Saskia M. Wilting, Debbie G. J. Robbrecht   +14 more
wiley   +1 more source

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

Molecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski, Liudmyla Dolinchuk, Michał Jerzak, Albert Gandurski, Tomasz Grochowski, Weronika Wojtyś, Maciej Zadrożny, Wojciech Kaźmierczak, Małgorzata Lenarcik, Marta Matejak‐Górska, Radosław Samsel, Tomasz Olesiński, Dawid Walerych   +12 more
wiley   +1 more source

3D binary signatures [PDF]

Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing, 2016
Tenth Indian Conference on Computer Vision, Graphics and Image Processing ...
Siddharth Srivastava 0004, Brejesh Lall
openaire   +2 more sources

Breaking the Binary Oppositions of the Interior: A Momentary Permanence

Interiority, 2019
The previously static view of the interior is changing, as social, economic and cultural factors produce a new requirement for building flexibility and potentially forcing a change to the normal spatial paradigms.
Roderick Adams, Lucy Marlor
doaj   +1 more source

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Dynamic time series binary choice [PDF]

This paper considers dynamic time series binary choice models. It proves near epoch dependence and strong mixing for the dynamic binary choice model with correlated errors.
Robert M. de Jong, Tiemen Woutersen
core   +3 more sources

‘Fuck normal’: Praxis for learning from the profane

Murmurations
There is much to be learned through sharing stories of resistance to binaries. In this paper I introduce myself (so that you know a bit about how my experiences with privilege and marginalisation shape my view of the world and the knowledge which I ...
Stasha Huntingford
doaj   +1 more source

Analysis of Noise in Complex-Valued Binary and Bipolar Sigmoid Compressive Sensing

Telfor Journal, 2019
Binary compressive sensing (CS) is a relatively new idea in the theory of sparse signal reconstruction. Under this framework, the signal is reconstructed based on the sign of the available measurements.
I. Stanković, M. Brajović, M. Daković, L. Stanković   +3 more
doaj   +1 more source

Multi-Level Cross Residual Network for Lung Nodule Classification

Sensors, 2020
Computer-aided algorithm plays an important role in disease diagnosis through medical images. As one of the major cancers, lung cancer is commonly detected by computer tomography.
Juan Lyu, Xiaojun Bi, Sai Ho Ling
doaj   +1 more source