From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment

K Swanson, E Wu, A Zhang, AA Alizadeh, J Zou - Cell, 2023 - cell.com
Machine learning (ML) is increasingly used in clinical oncology to diagnose cancers, predict
patient outcomes, and inform treatment planning. Here, we review recent applications of ML …

[HTML][HTML] Bridging biological cfDNA features and machine learning approaches

T Moser, S Kühberger, I Lazzeri, G Vlachos, E Heitzer - Trends in Genetics, 2023 - cell.com
Liquid biopsies (LBs), particularly using circulating tumor DNA (ctDNA), are expected to
revolutionize precision oncology and blood-based cancer screening. Recent technological …

[HTML][HTML] Single-cell multi-ome and immune profiles of the Inspiration4 crew reveal conserved, cell-type, and sex-specific responses to spaceflight

JK Kim, BT Tierney, EG Overbey, E Dantas… - Nature …, 2024 - nature.com
Spaceflight induces an immune response in astronauts. To better characterize this effect, we
generated single-cell, multi-ome, cell-free RNA (cfRNA), biochemical, and hematology data …

Future of digital assays to resolve clinical heterogeneity of single extracellular vesicles

RTT Morales, J Ko - ACS nano, 2022 - ACS Publications
Extracellular vesicles (EVs) are complex lipid membrane vehicles with variable expressions
of molecular cargo, composed of diverse subpopulations that participate in the intercellular …

[HTML][HTML] Engineering RNA export for measurement and manipulation of living cells

F Horns, JA Martinez, C Fan, M Haque, JM Linton… - Cell, 2023 - cell.com
A system for programmable export of RNA molecules from living cells would enable both
non-destructive monitoring of cell dynamics and engineering of cells capable of delivering …

[HTML][HTML] Blood transcriptomic signatures associated with molecular changes in the brain and clinical outcomes in Parkinson's disease

K Irmady, CR Hale, R Qadri, J Fak, S Simelane… - Nature …, 2023 - nature.com
The ability to use blood to predict the outcomes of Parkinson's disease, including disease
progression and cognitive and motor complications, would be of significant clinical value …

[HTML][HTML] Single-cell analysis identifies conserved features of immune dysfunction in simulated microgravity and spaceflight

F Wu, H Du, E Overbey, JK Kim, P Makhijani… - Nature …, 2024 - nature.com
Microgravity is associated with immunological dysfunction, though the mechanisms are
poorly understood. Here, using single-cell analysis of human peripheral blood mononuclear …

[HTML][HTML] Profiling of repetitive RNA sequences in the blood plasma of patients with cancer

RE Reggiardo, SV Maroli, V Peddu… - Nature Biomedical …, 2023 - nature.com
Liquid biopsies provide a means for the profiling of cell-free RNAs secreted by cells
throughout the body. Although well-annotated coding and non-coding transcripts in blood …

Liquid Biopsy Based on Cell-Free DNA and RNA

C Loy, L Ahmann, I De Vlaminck… - Annual Review of …, 2024 - annualreviews.org
This review delves into the rapidly evolving landscape of liquid biopsy technologies based
on cell-free DNA (cfDNA) and cell-free RNA (cfRNA) and their increasingly prominent role in …

[HTML][HTML] Current challenges and best practices for cell-free long RNA biomarker discovery

L Cabús, J Lagarde, J Curado, E Lizano… - Biomarker …, 2022 - Springer
The analysis of biomarkers in biological fluids, also known as liquid biopsies, is seen with
great potential to diagnose complex diseases such as cancer with a high sensitivity and …