Predicting cancer outcomes with radiomics and artificial intelligence in radiology
The successful use of artificial intelligence (AI) for diagnostic purposes has prompted the
application of AI-based cancer imaging analysis to address other, more complex, clinical …
application of AI-based cancer imaging analysis to address other, more complex, clinical …
Neoadjuvant checkpoint blockade for cancer immunotherapy
BACKGROUND Immunotherapies that target the interaction of programmed death 1 (PD-1)
with its ligands, PD-L1 and PD-L2, have ushered in the modern oncology era. The PD-1 …
with its ligands, PD-L1 and PD-L2, have ushered in the modern oncology era. The PD-1 …
Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L) 1 blockade in patients with non-small cell lung cancer
Immunotherapy is used to treat almost all patients with advanced non-small cell lung cancer
(NSCLC); however, identifying robust predictive biomarkers remains challenging. Here we …
(NSCLC); however, identifying robust predictive biomarkers remains challenging. Here we …
Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review
The outbreak of the COVID-19 pandemic is unarguably the biggest catastrophe of the 21st
century, probably the most significant global crisis after the second world war. The rapid …
century, probably the most significant global crisis after the second world war. The rapid …
[HTML][HTML] Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images
Background Currently, only a fraction of patients with non-small cell lung cancer (NSCLC)
treated with immune checkpoint inhibitors (ICIs) experience a durable clinical benefit (DCB) …
treated with immune checkpoint inhibitors (ICIs) experience a durable clinical benefit (DCB) …
Technological advances in cancer immunity: from immunogenomics to single-cell analysis and artificial intelligence
Y Xu, GH Su, D Ma, Y **ao, ZM Shao… - Signal Transduction and …, 2021 - nature.com
Immunotherapies play critical roles in cancer treatment. However, given that only a few
patients respond to immune checkpoint blockades and other immunotherapeutic strategies …
patients respond to immune checkpoint blockades and other immunotherapeutic strategies …
[HTML][HTML] Radiomics and artificial intelligence for precision medicine in lung cancer treatment
Lung cancer is the leading cause of cancer-related deaths worldwide. It exhibits, at the
mesoscopic scale, phenotypic characteristics that are generally indiscernible to the human …
mesoscopic scale, phenotypic characteristics that are generally indiscernible to the human …
Nanoparticle-mediated cancer cell therapy: Basic science to clinical applications
Every sixth person in the world dies due to cancer, making it the second leading severe
cause of death after cardiovascular diseases. According to WHO, cancer claimed nearly 10 …
cause of death after cardiovascular diseases. According to WHO, cancer claimed nearly 10 …
A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: Focus on the three most common cancers
The use of artificial intelligence (AI) and radiomics in the healthcare setting to advance
disease diagnosis and management and facilitate the creation of new therapeutics is …
disease diagnosis and management and facilitate the creation of new therapeutics is …
[HTML][HTML] Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker
Background Tumor mutational burden (TMB) is a significant predictor of immune checkpoint
inhibitors (ICIs) efficacy. This study investigated the correlation between deep learning …
inhibitors (ICIs) efficacy. This study investigated the correlation between deep learning …