Anatomical structures, cell types and biomarkers of the Human Reference Atlas

K Börner, SA Teichmann, EM Quardokus, JC Gee… - Nature cell …, 2021 - nature.com
Abstract The Human Reference Atlas (HRA) aims to map all of the cells of the human body
to advance biomedical research and clinical practice. This Perspective presents …

Kidney fibrosis: Emerging diagnostic and therapeutic strategies

BM Klinkhammer, P Boor - Molecular Aspects of Medicine, 2023 - Elsevier
An increasing number of patients worldwide suffers from chronic kidney disease (CKD).
CKD is accompanied by kidney fibrosis, which affects all compartments of the kidney, ie, the …

Rationale and design of the kidney precision medicine project

IH de Boer, CE Alpers, EU Azeloglu, UGJ Balis… - Kidney international, 2021 - Elsevier
Chronic kidney disease (CKD) and acute kidney injury (AKI) are common, heterogeneous,
and morbid diseases. Mechanistic characterization of CKD and AKI in patients may facilitate …

A reference tissue atlas for the human kidney

J Hansen, R Sealfon, R Menon, MT Eadon, BB Lake… - Science …, 2022 - science.org
Kidney Precision Medicine Project (KPMP) is building a spatially specified human kidney
tissue atlas in health and disease with single-cell resolution. Here, we describe the …

Non-invasive molecular imaging of kidney diseases

BM Klinkhammer, T Lammers, FM Mottaghy… - Nature Reviews …, 2021 - nature.com
In nephrology, differential diagnosis or assessment of disease activity largely relies on the
analysis of glomerular filtration rate, urinary sediment, proteinuria and tissue obtained …

Prenatal phenoty**: a community effort to enhance the Human Phenotype Ontology

F Dhombres, P Morgan, BP Chaudhari… - American Journal of …, 2022 - Wiley Online Library
Technological advances in both genome sequencing and prenatal imaging are increasing
our ability to accurately recognize and diagnose Mendelian conditions prenatally …

A user-friendly tool for cloud-based whole slide image segmentation with examples from renal histopathology

B Lutnick, D Manthey, JU Becker, B Ginley… - Communications …, 2022 - nature.com
Background Image-based machine learning tools hold great promise for clinical applications
in pathology research. However, the ideal end-users of these computational tools (eg …

Automated biomarker candidate discovery in imaging mass spectrometry data through spatially localized Shapley additive explanations

LEM Tideman, LG Migas, KV Djambazova… - Analytica Chimica …, 2021 - Elsevier
The search for molecular species that are differentially expressed between biological states
is an important step towards discovering promising biomarker candidates. In imaging mass …

[HTML][HTML] HeNeCOn: An ontology for integrative research in Head and Neck cancer

L Hernández, E Estévez-Priego, L López-Pérez… - International Journal of …, 2024 - Elsevier
Abstract Background Head and Neck Cancer (HNC) has a high incidence and prevalence in
the worldwide population. The broad terminology associated with these diseases and their …

[HTML][HTML] Machine learning applications in nephrology: a bibliometric analysis comparing kidney studies to other medicine subspecialities

A Verma, VC Chitalia, SS Waikar, VB Kolachalama - Kidney medicine, 2021 - Elsevier
Rationale & Objectives Artificial intelligence driven by machine learning algorithms is being
increasingly employed for early detection, disease diagnosis, and clinical management. We …