Results 121 to 130 of about 8,315,593 (358)

Integrative miRNOMe profiling reveals the miR‐195‐5p–CHEK1 axis and its impact on luminal breast cancer outcomes

open access: yesMolecular Oncology, EarlyView.
In luminal (ER+) breast carcinoma (BC), miRNA profiling identified miR‐195‐5p as a key regulator of proliferation that targets CHEK1, CDC25A, and CCNE1. High CHEK1 expression correlates with worse relapse‐free survival after chemotherapy, especially in patients with luminal A subtype.
Veronika Boušková   +14 more
wiley   +1 more source

Association of high‐dose radioactive iodine therapy with PPM1D‐mutated clonal hematopoiesis in older individuals

open access: yesMolecular Oncology, EarlyView.
In thyroid cancer patients, high‐dose (≥7.4 GBq) radioactive iodine therapy (RAIT) was associated with a higher prevalence of clonal hematopoiesis (variant allele frequency >2%) in individuals aged ≥50 years (OR = 2.44). In silico analyses showed that truncating PPM1D mutations conferred a selective advantage under these conditions.
Jaeryuk Kim   +11 more
wiley   +1 more source

QoS-based sensing scheduling protocol for wireless sensor networks

open access: yesTongxin xuebao, 2010
To satisfy the requirements of event detected latency according to different applications with unbalanced node density in randomly deployed large-scale wireless sensor networks,an adaptive distributed sensing scheduling protocol(ADSSP) which adaptively ...
YAO Dao-yuan1   +3 more
doaj  

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

open access: yesMolecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima   +6 more
wiley   +1 more source

Adaptive Discrete Vector Field in Sensor Networks

open access: yesSensors, 2018
Homology groups are a prime tool for measuring the connectivity of a network, and their computation in a distributed and adaptive way is mandatory for their use in sensor networks.
Mengyi Zhang, Alban Goupil
doaj   +1 more source

dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling. [PDF]

open access: yesJ Am Med Inform Assoc, 2022
Luo C   +8 more
europepmc   +1 more source

An approach for coherent periodogram averaging of tilt‐series data for improved contrast transfer function estimation

open access: yesFEBS Open Bio, EarlyView.
The contrast transfer function (CTF) is an imaging aberration that is a major resolution‐limiting factor in cryo‐electron microscopy (cryo‐EM). Precise CTF estimation is key to overcoming this limitation, but is particularly challenging in cryo‐electron tomography (cryo‐ET) data. Here, we present an approach for using geometric information to assist in
Sagar Khavnekar, William Wan
wiley   +1 more source

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