Results 71 to 80 of about 2,817,119 (330)

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

open access: yesMolecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra   +10 more
wiley   +1 more source

Development of a Japanese polygenic risk score model for amyloid-β PET imaging in Alzheimer’s disease

open access: yesAlzheimer’s Research & Therapy
Background The use of polygenic risk scores (PRS) for predicting disease risk in Japanese populations, particularly for dementia and related phenotypes, remains markedly unexplored.
Misato Kaishima   +6 more
doaj   +1 more source

Envisioning Answers: Unleashing Deep Learning for Visual Question Answering in Artistic Images [PDF]

open access: yesAUT Journal of Electrical Engineering
In specialized fields, the accurate answering of visual questions is crucial for practical applications, and this study focuses on improving a visual question-answering model for artistic images by utilizing a dataset with both visual and knowledge-based
Erfan Zolghadriha   +2 more
doaj   +1 more source

Holography as deep learning [PDF]

open access: yesInternational Journal of Modern Physics D, 2017
Quantum many-body problem with exponentially large degrees of freedom can be reduced to a tractable computational form by neural network method [G. Carleo and M. Troyer, Science 355 (2017) 602, arXiv:1606.02318.] The power of deep neural network (DNN) based on deep learning is clarified by mapping it to renormalization group (RG), which may shed ...
Wen-Cong Gan, Fu-Wen Shu
openaire   +3 more sources

Current trends in single‐cell RNA sequencing applications in diabetes mellitus

open access: yesFEBS Open Bio, EarlyView.
Single‐cell RNA sequencing is a powerful approach to decipher the cellular and molecular landscape at a single‐cell resolution. The rapid development of this technology has led to a wide range of applications, including the detection of cellular and molecular mechanisms and the identification and introduction of novel potential diagnostic and ...
Seyed Sajjad Zadian   +6 more
wiley   +1 more source

Experimental-analytical and digital based investigation of 3D printed sandwich sand mold used for precast structure

open access: yesCase Studies in Construction Materials
The 3D printing technique for sand mold exhibited the good response of precast concrete structure manufacturing process. The designed sandwich core structure, including solid core, diamond core, honeycomb core, pyramid core and round O core were ...
Khoa Vo Anh Pham   +4 more
doaj   +1 more source

Deep Ordinal Reinforcement Learning

open access: yes, 2019
Reinforcement learning usually makes use of numerical rewards, which have nice properties but also come with drawbacks and difficulties. Using rewards on an ordinal scale (ordinal rewards) is an alternative to numerical rewards that has received more ...
C Wirth, CJ Watkins, RS Sutton, V Mnih
core   +1 more source

Deep Learning Volatility [PDF]

open access: yesSSRN Electronic Journal, 2019
We present a neural network based calibration method that performs the calibration task within a few milliseconds for the full implied volatility surface. The framework is consistently applicable throughout a range of volatility models -including the rough volatility family- and a range of derivative contracts.
Mehdi Tomas   +2 more
openaire   +3 more sources

Teaching Python with team‐based learning: using cloud‐based notebooks for interactive coding education

open access: yesFEBS Open Bio, EarlyView.
This study presents a novel approach to teaching Python and bioinformatics using team‐based learning and cloud‐hosted notebooks. By integrating interactive coding into biomedical education, the method improves accessibility, student engagement, and confidence—especially for those without a computing background.
Nuno S. Osório, Leonardo D. Garma
wiley   +1 more source

Diffusion‐based size determination of solute particles: a method adapted for postsynaptic proteins

open access: yesFEBS Open Bio, EarlyView.
We present a diffusion‐based approach for measuring the size of macromolecules and their complexes, and demonstrate its use on postsynaptic proteins. The method requires fluorescein‐labelled protein samples, a microfluidic device that maintains laminar flow for said samples, a microscope recording the emitted fluorescent signals, and an analytic ...
András László Szabó   +7 more
wiley   +1 more source

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