Results 211 to 220 of about 1,302,829 (277)

JTIS: enhancing biomedical document-level relation extraction through joint training with intermediate steps. [PDF]

Database (Oxford)
Li J, Pan D, Yang Z, Sun Y, Lin H, Wang J.   +5 more
europepmc   +1 more source

Iron homeostasis disruption and lipid peroxidation in skeletal muscle during short‐term immobilization

FEBS Open Bio, EarlyView.
14‐day casting‐induced immobilization reduced gastrocnemius muscle mass and increased non‐heme iron and ferritin heavy chain levels. Despite iron accumulation, transferrin receptor 1 and iron regulatory protein 2 were paradoxically upregulated. Lipid peroxidation was elevated without compensatory antioxidant responses.
Haruka Yokogawa, Kazuhiko Higashida, Naoya Nakai   +2 more
wiley   +1 more source

Leveraging shortest dependency paths in low-resource biomedical relation extraction. [PDF]

BMC Med Inform Decis Mak
Enayati S, Vucetic S.
europepmc   +1 more source

Proteasomal degradation of intracellularly expressed Amblyomin‐X limits suicide gene therapy potential in melanoma cells

FEBS Open Bio, EarlyView.
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel, Carlos DeOcesano Pereira, Aline Ramos Maia Lobba, Melissa Regina Fessel, Ana Marisa Chudzinski‐Tavassi   +4 more
wiley   +1 more source

Effective sentence-level relation extraction model using entity-centric dependency tree. [PDF]

PeerJ Comput Sci
Park S, Kim H.
europepmc   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

LEAP: LLM instruction-example adaptive prompting framework for biomedical relation extraction. [PDF]

J Am Med Inform Assoc
Zhou H, Li M, Xiao Y, Yang H, Zhang R.
europepmc   +1 more source

Causal Relation Extraction

, 2007
openaire   +1 more source

Combined 5‐aminolevulinic acid and ferric ammonium citrate treatment promotes hair follicle growth by activating dermal papilla cells

FEBS Open Bio, EarlyView.
5‐Aminolevulinic acid combined with ferric ammonium citrate (5‐ALA/FAC) stimulates dermal papilla cell activity and promotes hair follicle growth. The treatment enhances ERK and AKT signaling, increases hair‐inductive gene expression, and restores dermal papilla function suppressed by dihydrotestosterone and oxidative stress, resulting in enhanced hair
Han‐Wook Ryu, Eok‐Soo Oh, Sewoon Kim
wiley   +1 more source

Enhancing cross-evidence reasoning graph for document-level relation extraction. [PDF]

PeerJ Comput Sci
Pi Q, Lu J, Zhu T, Sun Y, Li S, Guo J.
europepmc   +1 more source