Results 291 to 300 of about 12,937,092 (315)

Potential for advances in data linkage and data science to support injury prevention research. [PDF]

Inj Prev
Lyons RA, Gabbe BJ, Vallmuur K.
europepmc   +1 more source

Nicotinamide N‐methyltransferase promotes drug resistance in lung cancer, as revealed by nascent proteomic profiling

Molecular Oncology, EarlyView.
AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou, Zhen Wang, Fei Yang, Xiao Han, Lei Li, Huadong Liu   +5 more
wiley   +1 more source

Reconstructing decision-making dynamics during public health crises by applying data science to public records. [PDF]

J Public Health Policy
Nadel P, Smith KM.
europepmc   +1 more source

Single‐cell transcriptomics redefines focal neuroendocrine differentiation as a distinct prostate cancer pathology

Molecular Oncology, EarlyView.
Single‐cell transcriptomics of prostate cancer patient‐derived xenografts reveals distinct features of neuroendocrine (NE) subtypes. Tumours with focal NE differentiation (NED) share transcriptional programmes with adenocarcinoma, differing from large and small cell neuroendocrine prostate cancer (NEPC). Our work defines the molecular landscape of NEPC,
Rosalia Quezada Urban, Shivakumar Keerthikumar, Ashlee Clark, Hong Wang, Belinda Phipson, Andrew Bakshi, Andrew Ryan, Heather Thorne, Renea A. Taylor, Mitchell G. Lawrence, Gail P. Risbridger, Roxanne Toivanen, David L. Goode   +12 more
wiley   +1 more source

Current data science capacity building initiatives for health researchers in LMICs: global & regional efforts. [PDF]

Front Public Health
Kiosia A, Boylan S, Retford M, Marques LP, Bueno FTC, Kirima C, Islam MS, Naheed A, Wozencraft A.   +8 more
europepmc   +1 more source

Decrypting cancer's spatial code: from single cells to tissue niches

Molecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik, Shi Pan, Eloise Withnell, Hou Wang Lam, Maria Secrier   +4 more
wiley   +1 more source

A collaborative approach to advancing research and training in Public Health Data Science-challenges, opportunities, and lessons learnt. [PDF]

Front Public Health
Abade E, Mulugeta W, Orowe I, Hailemariam G, Weke P, Bekele R, Zaugg I, Goldsmith J, Sanchez T, Berhane K.   +9 more
europepmc   +1 more source

Data science through natural language with ChatGPT's Code Interpreter. [PDF]

Transl Clin Pharmacol
Ahn S.
europepmc   +1 more source

Investigation of Laser Ablation Quality Based upon Entropy Analysis of Data Science. [PDF]

Entropy (Basel)
Tsai CC, Yiu TH.
europepmc   +1 more source

Data Science Opportunities To Improve Radiotherapy Planning and Clinical Decision Making. [PDF]

Semin Radiat Oncol
Deasy JO.
europepmc   +1 more source