Results 161 to 170 of about 64,893 (276)

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

Explainable and uncertainty-aware ensemble framework with causal analysis for breast cancer detection. [PDF]

Front Oncol
Zaheer Sajid M, Fareed Hamid M, Qureshi I.   +2 more
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

Explainable AI-Driven Quality and Condition Monitoring in Smart Manufacturing. [PDF]

Sensors (Basel)
Ahangar MN, Farhat ZA, Sivanathan A, Ketheesram N, Kaur S.   +4 more
europepmc   +1 more source

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

FEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane, Lea Nikolić, Lorenzo Maraio, Thomas Goiran, Nathan Karpilovsky, Stefano Sellitto, Vangelis Bouris, Jiang‐An Yin, Ronald Melki, Edward A Fon, Adriano Aguzzi, Elena De Cecco   +11 more
wiley   +1 more source

Hyper-selective explainability: an empirical case study of the utility of explainability in a clinical decision support system. [PDF]

AI Ethics
Duke SA, Sandøe P, Lund TB, Abenavoli EM, Beyer T, Ferrara D, Frille A, Gruenert S, Sabri O, Sciagrà R, Pepponi M, Swen H, Tönjes A, Wirtz H, Yu J, Shiyam Sundar LK, Holm S.   +16 more
europepmc   +1 more source

The skills required for transition to university and study in biological sciences: A student perspective

FEBS Open Bio, EarlyView.
Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley   +1 more source

Explainable artificial intelligence in air traffic control: effects of expertise on workload, acceptance, and usage intentions. [PDF]

Brain Inform
Cartocci G, Veyrié A, Cavagnetto N, Hurter C, Degas A, Ferreira A, Ahmed MU, Begum S, Barua S, Inguscio BMS, Ronca V, Borghini G, Di Flumeri G, Babiloni F, Aricò P.   +14 more
europepmc   +1 more source

Suppression of lung adenocarcinoma migration through organelle alkalization by human lactoferrin – albumin fusion

FEBS Open Bio, EarlyView.
This paper reveals how human lactoferrin–albumin fusion (hLF‐HSA) potently suppresses lung adenocarcinoma cell migration. hLF‐HSA upregulates NHE7, leading to Golgi alkalization, disruption of the Golgi secretome, downregulation of MMP1, and reversal of EMT. These findings suggest a novel Golgi‐targeting strategy to suppress cancer cell migration.
Hana Nopia, Masahiro Kimura, Daisuke Kurimoto, Atsushi Sato   +3 more
wiley   +1 more source

Explainable multi agent reinforcement learning framework for secure and adaptive communication in UAV swarm based fanets. [PDF]

Sci Rep
Alkahtani HK, Galiya Y, Akbayan B, Qahmash A.   +3 more
europepmc   +1 more source