Publications associées à Platform combining statistical modeling and patient-derived organoids to facilitate personalized treatment of colorectal carcinoma

Publications associées (10)

Size distributions and fractograms of cholesterol-rich lipoprotein nanoparticles for cancer diagnosis

Francesco Stellacci, Quy Ong Khac, Lixia Wei

The present invention relates to a method for the diagnosis of cancer in a sample of cholesterol-rich lipoprotein nanoparticles obtained from a test subject comprising (α) determining the size distribution or the fractogram in chromatography of the cholest ...

2025

An 19F NMR fragment-based approach for the discovery and development of BRCA2-RAD51 inhibitors to pursuit synthetic lethality in combination with PARP inhibition in pancreatic cancer

Andrea Cavalli

The BRCA2-RAD51 interaction remains an intriguing target for cancer drug discovery due to its vital role in DNA damage repair mechanisms, which cancer cells become particularly reliant on. Moreover, RAD51 has many synthetically lethal partners, including P ...

Elsevier France-Editions Scientifiques Medicales Elsevier2024

Computer-Assisted Diagnosis of Lymph Node Metastases in Colorectal Cancers Using Transfer Learning With an Ensemble Model

Jean-Philippe Thiran

Screening of lymph node metastases in colorectal cancer (CRC) can be a cumbersome task, but it is amenable to artificial intelligence (AI)-assisted diagnostic solution. Here, we propose a deep learning-based workflow for the evaluation of CRC lymph node me ...

ELSEVIER SCIENCE INC2023

Cytokine-armed dendritic cell progenitors for antigen-agnostic cancer immunotherapy

Luqing Li, Michele De Palma, Nahal Mansouri, Ali Ghasemi, Alan Nicolas Thierry Guichard, Yahya Mohammadzadeh, Bruno Torchia

Dendritic cells (DCs) are antigen-presenting myeloid cells that regulate T cell activation, trafficking and function. Monocyte-derived DCs pulsed with tumor antigens have been tested extensively for therapeutic vaccination in cancer, with mixed clinical re ...

Nature Portfolio2023

Identification of polypharmacy patterns in new-users of metformin using the Apriori algorithm: A novel framework for investigating concomitant drug utilization through association rule mining

Guillaume Romain Obozinski

Purpose: With increased concomitant chronic diseases in type 2 diabetes mellitus (T2DM), the use of multiple drugs increases as well as the risk of drug-drug interac-tions (DDI) and adverse drug reactions (ADR). Nevertheless, how medication patterns vary i ...

2023

Drug Repurposing to Identify a Synergistic High-Order Drug Combination to Treat Sunitinib-Resistant Renal Cell Carcinoma

Paul Joseph Dyson

Simple Summary In this study, drug combination screening was used to design a multidrug combination consisting of repurposed drugs to treat sunitinib-resistant clear cell renal cell carcinoma. In the frame of this project, the multidrug combination has bee ...

MDPI2021

Fluorescence-Based and Fluorescent Label-Free Characterization of Polymer Nanoparticle Decorated T Cells

Demetri Psaltis, Harm-Anton Klok, Ahmed Bassam Sayed Ayoub Mohamed Emam, Tanja Thomsen

Cells are attractive carriers for the transport and delivery of nanoparticulate cargo. The use of cell-based carriers allows one to enhance control over the biodistribution of drug-loaded polymers and polymer nanoparticles. One key element in the developme ...

American Chemical Society2021

Platform combining statistical modeling and patient-derived organoids to facilitate personalized treatment of colorectal carcinoma

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