AI in health and medicine

P Rajpurkar, E Chen, O Banerjee, EJ Topol - Nature medicine, 2022 - nature.com
Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the
experiences of both clinicians and patients. We discuss key findings from a 2-year weekly …

[HTML][HTML] Liquid biopsy in lung cancer: significance in diagnostics, prediction, and treatment monitoring

W Li, JB Liu, LK Hou, F Yu, J Zhang, W Wu, XM Tang… - Molecular cancer, 2022 - Springer
Primary lung cancer is one of the most common malignant tumors in China. Approximately
60% of lung cancer patients have distant metastasis at the initial diagnosis, so it is …

[HTML][HTML] ESMO recommendations on the use of circulating tumour DNA assays for patients with cancer: a report from the ESMO Precision Medicine Working Group

J Pascual, G Attard, FC Bidard, G Curigliano… - Annals of …, 2022 - Elsevier
Circulating tumour DNA (ctDNA) assays conducted on plasma are rapidly developing a
strong evidence base for use in patients with cancer. The European Society for Medical …

Tracking early lung cancer metastatic dissemination in TRACERx using ctDNA

C Abbosh, AM Frankell, T Harrison, J Kisistok… - Nature, 2023 - nature.com
Circulating tumour DNA (ctDNA) can be used to detect and profile residual tumour cells
persisting after curative intent therapy. The study of large patient cohorts incorporating …

[PDF][PDF] Evaluation of cell-free DNA approaches for multi-cancer early detection

A Jamshidi, MC Liu, EA Klein, O Venn, E Hubbell… - Cancer Cell, 2022 - cell.com
Summary In the Circulating Cell-free Genome Atlas (NCT02889978) substudy 1, we
evaluate several approaches for a circulating cell-free DNA (cfDNA)-based multi-cancer …

Liquid biopsy enters the clinic—implementation issues and future challenges

M Ignatiadis, GW Sledge, SS Jeffrey - Nature reviews Clinical oncology, 2021 - nature.com
Historically, studies of disseminated tumour cells in bone marrow and circulating tumour
cells in peripheral blood have provided crucial insights into cancer biology and the …

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] Liquid biopsy for advanced NSCLC: a consensus statement from the international association for the study of lung cancer

C Rolfo, P Mack, GV Scagliotti, C Aggarwal… - Journal of Thoracic …, 2021 - Elsevier
Although precision medicine has had a mixed impact on the clinical management of patients
with advanced-stage cancer overall, for NSCLC, and more specifically for lung …

[HTML][HTML] Detection and characterization of lung cancer using cell-free DNA fragmentomes

D Mathios, JS Johansen, S Cristiano, JE Medina… - Nature …, 2021 - nature.com
Non-invasive approaches for cell-free DNA (cfDNA) assessment provide an opportunity for
cancer detection and intervention. Here, we use a machine learning model for detecting …

Epigenetics, fragmentomics, and topology of cell-free DNA in liquid biopsies

YMD Lo, DSC Han, P Jiang, RWK Chiu - Science, 2021 - science.org
BACKGROUND Liquid biopsies that are based on analysis of cell-free DNA from plasma
offer diagnostic information that is otherwise accessible conventionally through invasive …