Results 151 to 160 of about 10,518,857 (365)

Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value

open access: yesMolecular Oncology, EarlyView.
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song   +13 more
wiley   +1 more source

TOMM20 as a driver of cancer aggressiveness via oxidative phosphorylation, maintenance of a reduced state, and resistance to apoptosis

open access: yesMolecular Oncology, EarlyView.
TOMM20 increases cancer aggressiveness by maintaining a reduced state with increased NADH and NADPH levels, oxidative phosphorylation (OXPHOS), and apoptosis resistance while reducing reactive oxygen species (ROS) levels. Conversely, CRISPR‐Cas9 knockdown of TOMM20 alters these cancer‐aggressive traits.
Ranakul Islam   +9 more
wiley   +1 more source

How did educational institutions respond to students with special needs during COVID-19: considerations for policy?

open access: yesFrontiers in Education
This bibliometric study analyzes the scientific production on the educational response of institutions to families with children with special educational needs (SEN) during the COVID-19 pandemic.
Valentina Gómez-Domínguez   +3 more
doaj   +1 more source

Plasma lipidomic and metabolomic profiles in high‐grade glioma patients before and after 72‐h presurgery water‐only fasting

open access: yesMolecular Oncology, EarlyView.
Presurgery 72‐h fasting in GB patients leads to adaptations of plasma lipids and polar metabolites. Fasting reduces lysophosphatidylcholines and increases free fatty acids, shifts triglycerides toward long‐chain TGs and increases branched‐chain amino acids, alpha aminobutyric acid, and uric acid.
Iris Divé   +7 more
wiley   +1 more source

The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry [PDF]

open access: yesarXiv
Linear attentions have shown potential for improving Transformer efficiency, reducing attention's quadratic complexity to linear in sequence length. This holds exciting promise for (1) training linear Transformers from scratch, (2) "finetuned-conversion" of task-specific Transformers into linear versions that recover task performance, and (3 ...
arxiv  

Enhancing patient engagement in cancer research: a focus on patient‐centric approaches to scientific discovery

open access: yesMolecular Oncology, EarlyView.
Patient engagement involves actively including patients in healthcare decisions and research to ensure care and studies align with their needs. This approach improves outcomes, trust, and communication while fostering collaboration between patients and professionals.
Estela Cepeda   +3 more
wiley   +1 more source

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