Results 211 to 220 of about 294,348 (299)

Targeting the mitotic kinase NEK2 enhances CDK4/6 inhibitor efficacy by potentiating genome instability. [PDF]

J Biol Chem
Bobbitt JR, Cuellar-Vite L, Weber-Bonk KL, Yancey MR, Majmudar PR, Keri RA.   +5 more
europepmc   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

The urinary eccDNA landscape in prostate cancer reveals associations with genome instability and vital roles in cancer progression. [PDF]

J Adv Res
Chen S, Zhou Z, Ye Y, You Z, Lv Q, Dong Y, Luo J, Gong L, Zhu Y.   +8 more
europepmc   +1 more source

FGF2 causes genomic instability [PDF]

Nature Reviews Urology, 2018
openaire   +2 more sources

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Embryonic genome instability upon DNA replication timing program emergence. [PDF]

Nature
Takahashi S, Kyogoku H, Hayakawa T, Miura H, Oji A, Kondo Y, Takebayashi SI, Kitajima TS, Hiratani I.   +8 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

BET inhibitors enhance the anti-cancer effect of etoposide by suppressing the MRN-ATM axis in the DNA damage response

Genes and Diseases
Zhenhai Li, Wenchao Xu, Feng Chen, Jun Zhang, Wei-Guo Zhu   +4 more
doaj   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

The cGAS-STING, p38 MAPK, and p53 pathways link genome instability to accelerated cellular senescence in ATM-deficient murine lung fibroblasts. [PDF]

Proc Natl Acad Sci U S A
Haj M, Frey Y, Levon A, Maliah A, Ben-Yishay T, Slutsky R, Smoom R, Tzfati Y, Ben-David U, Levy C, Elkon R, Ziv Y, Shiloh Y.   +12 more
europepmc   +1 more source