Predict, diagnose, and treat chronic kidney disease with machine learning: a systematic literature review

F Sanmarchi, C Fanconi, D Golinelli, D Gori… - Journal of …, 2023 - Springer
Objectives In this systematic review we aimed at assessing how artificial intelligence (AI),
including machine learning (ML) techniques have been deployed to predict, diagnose, and …

Genome-wide polygenic score to predict chronic kidney disease across ancestries

A Khan, MC Turchin, A Patki, V Srinivasasainagendra… - Nature medicine, 2022 - nature.com
Chronic kidney disease (CKD) is a common complex condition associated with high
morbidity and mortality. Polygenic prediction could enhance CKD screening and prevention; …

Early detection of pancreatic cancer: applying artificial intelligence to electronic health records

BJ Kenner, ND Abrams, ST Chari, BF Field… - Pancreas, 2021 - journals.lww.com
The potential of artificial intelligence (AI) applied to clinical data from electronic health
records (EHRs) to improve early detection for pancreatic and other cancers remains …

[HTML][HTML] Genetics in chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) controversies conference

A Köttgen, E Cornec-Le Gall, J Halbritter, K Kiryluk… - Kidney international, 2022 - Elsevier
Numerous genes for monogenic kidney diseases with classical patterns of inheritance, as
well as genes for complex kidney diseases that manifest in combination with environmental …

Polygenic risk alters the penetrance of monogenic kidney disease

A Khan, N Shang, JG Nestor, C Weng… - Nature …, 2023 - nature.com
Chronic kidney disease (CKD) is determined by an interplay of monogenic, polygenic, and
environmental risks. Autosomal dominant polycystic kidney disease (ADPKD) and COL4A …

Genetic regulation of serum IgA levels and susceptibility to common immune, infectious, kidney, and cardio-metabolic traits

L Liu, A Khan, E Sanchez-Rodriguez, F Zanoni… - Nature …, 2022 - nature.com
Immunoglobulin A (IgA) mediates mucosal responses to food antigens and the intestinal
microbiome and is involved in susceptibility to mucosal pathogens, celiac disease …

Predicting Race And Ethnicity To Ensure Equitable Algorithms For Health Care Decision Making: Commentary examines the need for accurate race and ethnicity data …

I Cabreros, D Agniel, SC Martino, CL Damberg… - Health …, 2022 - healthaffairs.org
Algorithms are currently used to assist in a wide array of health care decisions. Despite the
general utility of these health care algorithms, there is growing recognition that they may …

Cell-subtype specific effects of genetic variation in the aging and Alzheimer cortex

M Fujita, Z Gao, L Zeng, C McCabe, CC White, B Ng… - bioRxiv, 2022 - biorxiv.org
The relationship between genetic variation and gene expression in individual brain cell
types and subtypes has remained elusive. Here, we generated single-nucleus RNA …

Beyond the kidney biopsy: genomic approach to undetermined kidney diseases

T Robert, L Raymond, M Dancer, J Torrents… - Clinical Kidney …, 2024 - academic.oup.com
Background According to data from large national registries, almost 20%–25% of patients
with end-stage kidney disease have an undetermined kidney disease (UKD). Recent data …

Genetics of kidney disease: the unexpected role of rare disorders

MD Elliott, HM Rasouly… - Annual Review of Medicine, 2023 - annualreviews.org
Hundreds of different genetic causes of chronic kidney disease are now recognized, and
while individually rare, taken together they are significant contributors to both adult and …