Opportunities for artificial intelligence in advancing precision medicine

FV Filipp - Current genetic medicine reports, 2019 - Springer
Abstract Purpose of Review We critically evaluate the future potential of machine learning
(ML), deep learning (DL), and artificial intelligence (AI) in precision medicine. The goal of …

Identification and validation of neurotrophic factor-related gene signatures in glioblastoma and Parkinson's disease

S Zhao, H Chi, Q Yang, S Chen, C Wu, G Lai… - Frontiers in …, 2023 - frontiersin.org
Background Glioblastoma multiforme (GBM) is the most common cancer of the central
nervous system, while Parkinson's disease (PD) is a degenerative neurological condition …

Epigenetic regulation during cancer transitions across 11 tumour types

NV Terekhanova, A Karpova, WW Liang… - Nature, 2023 - nature.com
Chromatin accessibility is essential in regulating gene expression and cellular identity, and
alterations in accessibility have been implicated in driving cancer initiation, progression and …

Molecular classification to refine surgical and radiotherapeutic decision-making in meningioma

JZ Wang, V Patil, AP Landry, C Gui, A Ajisebutu, J Liu… - Nature medicine, 2024 - nature.com
Abstract Treatment of the tumor and dural margin with surgery and sometimes radiation are
cornerstones of therapy for meningioma. Molecular classifications have provided insights …

Spatial inequalities of COVID-19 mortality rate in relation to socioeconomic and environmental factors across England

Y Sun, X Hu, J Xie - Science of the total environment, 2021 - Elsevier
In this study, we aimed to examine spatial inequalities of COVID-19 mortality rate in relation
to spatial inequalities of socioeconomic and environmental factors across England …

Identification of cuproptosis-related subtypes, characterization of tumor microenvironment infiltration, and development of a prognosis model in breast cancer

Z Li, H Zhang, X Wang, Q Wang, J Xue, Y Shi… - Frontiers in …, 2022 - frontiersin.org
Breast cancer (BC) is now the most frequent and lethal cancer among women. Cuproptosis
is a newly identified programmed cell death process that has been connected to tumor …

From data to diagnosis: How machine learning is revolutionizing biomarker discovery in idiopathic inflammatory myopathies

E McLeish, N Slater, FL Mastaglia… - Briefings in …, 2024 - academic.oup.com
Idiopathic inflammatory myopathies (IIMs) are a heterogeneous group of muscle disorders
including adult and juvenile dermatomyositis, polymyositis, immune-mediated necrotising …

High social status males experience accelerated epigenetic aging in wild baboons

JA Anderson, RA Johnston, AJ Lea, FA Campos… - Elife, 2021 - elifesciences.org
Aging, for virtually all life, is inescapable. However, within populations, biological aging rates
vary. Understanding sources of variation in this process is central to understanding the …

Characterization of interplay between autophagy and ferroptosis and their synergistical roles on manipulating immunological tumor microenvironment in squamous …

L Chen, X Niu, X Qiao, S Liu, H Ma, X Shi… - Frontiers in …, 2022 - frontiersin.org
Objective Squamous cell carcinomas (SCCs) with shared etiology, histological
characteristics, and certain risk factors represent the most common solid cancers. This study …

Machine learning-based characterization of cuprotosis-related biomarkers and immune infiltration in Parkinson's disease

S Zhao, L Zhang, W Ji, Y Shi, G Lai, H Chi… - Frontiers in …, 2022 - frontiersin.org
Background: Parkinson's disease (PD) is a neurodegenerative disease commonly seen in
the elderly. On the other hand, cuprotosis is a new copper-dependent type of cell death that …