Artificial intelligence in cancer immunotherapy: applications in neoantigen recognition, antibody design and immunotherapy response prediction

T Li, Y Li, X Zhu, Y He, Y Wu, T Ying, Z Xie - Seminars in Cancer Biology, 2023 - Elsevier
Cancer immunotherapy is a method of controlling and eliminating tumors by reactivating the
body's cancer-immunity cycle and restoring its antitumor immune response. The increased …

Unlocking the potential of the human microbiome for identifying disease diagnostic biomarkers

R Hajjo, DA Sabbah, AQ Al Bawab - Diagnostics, 2022 - mdpi.com
The human microbiome encodes more than three million genes, outnumbering human
genes by more than 100 times, while microbial cells in the human microbiota outnumber …

Skin cancer pathobiology at a glance: a focus on imaging techniques and their potential for improved diagnosis and surveillance in clinical cohorts

EG Dobre, M Surcel, C Constantin, MA Ilie… - International Journal of …, 2023 - mdpi.com
Early diagnosis is essential for completely eradicating skin cancer and maximizing patients'
clinical benefits. Emerging optical imaging modalities such as reflectance confocal …

Imaging assessment of toxicity related to immune checkpoint inhibitors

AM Berz, S Boughdad, N Vietti-Violi, A Digklia… - Frontiers in …, 2023 - frontiersin.org
In recent years, a wide range of cancer immunotherapies have been developed and have
become increasingly important in cancer treatment across multiple oncologic diseases. In …

Tumor response assessment on imaging following immunotherapy

AM Berz, C Dromain, N Vietti-Violi, S Boughdad… - Frontiers in …, 2022 - frontiersin.org
In recent years, various systemic immunotherapies have been developed for cancer
treatment, such as monoclonal antibodies (mABs) directed against immune checkpoints …

Radiomics using computed tomography to predict CD73 expression and prognosis of colorectal cancer liver metastases

R Saber, D Henault, N Messaoudi, R Rebolledo… - Journal of translational …, 2023 - Springer
Background Finding a noninvasive radiomic surrogate of tumor immune features could help
identify patients more likely to respond to novel immune checkpoint inhibitors. Particularly …

The tumor immune microenvironment in pancreatic cancer and its potential in the identification of immunotherapy biomarkers

R Tsunedomi, Y Shindo, M Nakajima… - Expert Review of …, 2023 - Taylor & Francis
Introduction Pancreatic cancer (PC) has an extremely poor prognosis, even with surgical
resection and triplet chemotherapy treatment. Cancer immunotherapy has been recently …

A radiomics approach to identify immunologically active tumor in patients with head and neck squamous cell carcinomas

TM Nguyen, C Bertolus, P Giraud, A Burgun… - Cancers, 2023 - mdpi.com
Simple Summary We recently established a biological classification of head and neck
cancers into hot and cold tumors, which were associated with different responses to …

[HTML][HTML] Enhancing Immunotherapy Response Prediction in Metastatic Lung Adenocarcinoma: Leveraging Shallow and Deep Learning with CT-Based Radiomics …

C Masson-Grehaigne, M Lafon, J Palussière, L Leroy… - Cancers, 2024 - mdpi.com
Simple Summary Efficient prognostic tools for predicting progression-free survival (PFS) in
metastatic lung adenocarcinoma (MLUAD) patients undergoing first-line immunotherapy are …

Recent advances in the field of artificial intelligence for precision medicine in patients with a diagnosis of metastatic cutaneous melanoma

H Higgins, A Nakhla, A Lotfalla, D Khalil, P Doshi… - Diagnostics, 2023 - mdpi.com
Standard-of-care medical imaging techniques such as CT, MRI, and PET play a critical role
in managing patients diagnosed with metastatic cutaneous melanoma. Advancements in …