[HTML][HTML] Artificial intelligence for predictive biomarker discovery in immuno-oncology: a systematic review

A Prelaj, V Miskovic, M Zanitti, F Trovo, C Genova… - Annals of …, 2023 - Elsevier
Background The widespread use of Immune checkpoint-inhibitors (ICI) has revolutionised
treatment of multiple cancer types. However, selecting patients who may benefit from ICI …

Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community

A Bottrighi, M Pennisi - Information, 2023 - mdpi.com
Artificial intelligence (AI) is becoming increasingly important, especially in the medical field.
While AI has been used in medicine for some time, its growth in the last decade is …

Machine Learning Improves the Prediction of Responses to Immune Checkpoint Inhibitors in Metastatic Melanoma

A Tabari, M Cox, B D'Amore, A Mansur, H Dabbara… - Cancers, 2023 - mdpi.com
Simple Summary Lactate dehydrogenase (LDH) levels prior to treatment are a known
biomarker to predict advanced melanoma's response to immune checkpoint inhibitors (ICI) …

Machine learning in the prediction of immunotherapy response and prognosis of melanoma: a systematic review and meta-analysis

J Li, K Dan, J Ai - Frontiers in Immunology, 2024 - frontiersin.org
Background The emergence of immunotherapy has changed the treatment modality for
melanoma and prolonged the survival of many patients. However, a handful of patients …

Immune Biomarkers and Predictive Signatures in Gastric Cancer: Optimizing Immunotherapy Responses

V Sundaram, SS Infant, S Manikandan, DJ Rani… - … -Research and Practice, 2024 - Elsevier
Gastric cancer is a malignant disease with a poor prognosis and few therapeutic options
once it has advanced. Immunotherapy using ICIs has emerged as a viable therapeutic …

Recent advances of artificial intelligence in melanoma clinical practice

Z Lin, H Shen, X Liu, W Ma, M Wang, J Ruan… - Melanoma …, 2023 - journals.lww.com
Skin melanoma is a lethal cancer. The incidence of melanoma is increasing rapidly in all
regions of the world. Despite significant breakthroughs in melanoma treatment in recent …

Machine learning algorithm to predict response to immunotherapy in real-life settings for patients with advanced melanoma

C Frenard, K Blanchet, P Lecerf, E Varey… - European Journal of …, 2023 - Springer
Background Melanoma is one of the most fatal forms of skin cancer. Defining relevant
biomarkers to predict treatment outcome based on immune checkpoint inhibitors (ICIs) is …

Perspectives in Melanoma: meeting report from the Melanoma Bridge (December 2nd–4th, 2021, Italy)

PA Ascierto, SS Agarwala, C Blank, C Caracò… - Journal of Translational …, 2022 - Springer
Advances in immune checkpoint and combination therapy have led to improvement in
overall survival for patients with advanced melanoma. Improved understanding of the tumor …

[HTML][HTML] Predicting the benefit of stereotactic body radiotherapy of colorectal cancer metastases

S Lindberg, E Onjukka, P Wersäll, C Staff… - Clinical and …, 2022 - Elsevier
Abstract Aim To evaluate Stereotactic body radiotherapy (SBRT) in metastatic colorectal
cancer (mCRC) and identify the benefit of the treatment by using a predictive algorithm …