Results 91 to 100 of about 2,401,578 (298)

Tumor organoids as a revolutionary platform for advancing cancer nanomedicine

open access: yesMolecular Cancer
Nanomedicine has revolutionized oncology through targeted drug delivery and theranostic applications. However, its clinical translation remains a formidable challenge, primarily due to the translational gap created by conventional preclinical models ...
Chenyu Wu   +9 more
doaj   +1 more source

Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications

open access: yesAdvanced Science, EarlyView.
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen   +11 more
wiley   +1 more source

NS1‐Induced PARP1 Phase Transitions Prolongs Host Transcriptional Pausing to Promote Influenza A Virus Replication

open access: yesAdvanced Science, EarlyView.
After IAV infection, NS1 induces PARP1 phase transition, reducing molecular mobility in condensates, prolonging host transcriptional pause, aiding RdRp cap snatching, and promoting viral transcription. ABSTRACT Influenza A virus (IAV) commandeers host transcriptional machinery to replicate, but mechanisms remain elusive.
Shufeng Ma   +12 more
wiley   +1 more source

Dual Compartmentalization of GSTA4 Suppresses Ferroptosis to Drive Antiandrogen Resistance in Prostate Cancer

open access: yesAdvanced Science, EarlyView.
The schematic diagram depicts a compartmentalized anti‐ferroptotic defense mechanism mediated by GSTA4. GSTA4 is upregulated and localizes to the cytoplasm in ENZR cells, where it detoxifies 4‐HNE via a non‐canonical GSH‐dependent pathway. Under oxidative stress, GSTA4 translocates to mitochondria, interacts with PGAM5, and blocks Drp1 Ser637 ...
Yong Luo   +17 more
wiley   +1 more source

Asking pragmatic and RAD questions about organoid intelligence.

open access: yesTrends in Biotechnology
Debates about whether organoid intelligence systems are conscious, or can suffer, often stall on the question of what these organoid entities and systems are.
Andrew J. Barnhart
semanticscholar   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

open access: yesAdvanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser   +6 more
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu   +3 more
wiley   +1 more source

Bone organoid construction and evolution

open access: yesJournal of Orthopaedic Translation
Organoids, generated through three-dimensional in vitro culture, are cellular aggregates that accurately mimic the complex microenvironment, cell–cell interactions, and signaling mechanisms of native tissues.
Yang Hong   +5 more
doaj   +1 more source

A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images

open access: yesAdvanced Intelligent Discovery, EarlyView.
A single static hiPSC‐cardiomyocyte image is fed into a U‐Net‐GAN framework, which directly predicts a pixel‐resolved contraction heatmap without time‐lapse imaging. StyleGAN2‐generated synthetic cell–heatmap pairs augment training, improving prediction fidelity (SSIM = 0.84).
Andrew Kowalczewski   +5 more
wiley   +1 more source

ViTAMIn‐O: Democratizing Computer Vision‐Based Machine Learning for Stem Cell Research

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a fully open generalist computer vision model for predicting the differentiation outcomes of stem cell‐based model systems, together with its code‐free deployment platform, ColabViTAMIn‐O. It is benchmarked against various architectures, datasets, and training protocols.
Ferhat Hamurcu   +11 more
wiley   +1 more source

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