Results 151 to 160 of about 695,054 (265)

Morphology-Aware Deep Features and Frozen Filters for Surgical Instrument Segmentation with LLM-Based Scene Summarization. [PDF]

J Clin Med
Haider A, Arsalan M, Cho K.
europepmc   +1 more source

Segmentation ability map: Interpret deep features for medical image segmentation. [PDF]

Med Image Anal, 2023
He S, Feng Y, Grant PE, Ou Y.
europepmc   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

A swarm intelligence-driven hybrid framework for brain tumor classification with enhanced deep features. [PDF]

Sci Rep
Yonar A.
europepmc   +1 more source

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

Skin disease diagnosis using decision and feature level fusion of deep features. [PDF]

Front Digit Health
Zasim Uddin M, Arif Shahriar M, Schuller BW, Nadim Mahamood M, Atiqur Rahman Ahad M.   +4 more
europepmc   +1 more source

Early prediction of sepsis using double fusion of deep features and handcrafted features. [PDF]

Appl Intell (Dordr), 2023
Duan Y, Huo J, Chen M, Hou F, Yan G, Li S, Wang H.   +6 more
europepmc   +1 more source

Nutrient/TOR signaling controls adipose mitochondrial transcription factor A (TFAM) to regulate organismal growth in Drosophila

FEBS Letters, EarlyView.
Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas, Shahoon Khan, Abhishek Sharma, Byoungchun Lee, Savraj S. Grewal   +4 more
wiley   +1 more source

mpMRI-based MGMT methylation status prediction for glioblastoma through off-the-shelf deep features: A multi-dataset feasibility study. [PDF]

J Appl Clin Med Phys
Chen J, Wang Z, Yang B.
europepmc   +1 more source