AIMC Topic: Neoplasms

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The Effectiveness and Feasibility of Conversational Agents in Supporting Care for Patients With Cancer: Systematic Review and Meta-Analysis.

Journal of medical Internet research
BACKGROUND: Patients with cancer experience complex physical, psychosocial, and behavioral challenges that require continuous support. This need has intensified with the rising cancer burden worldwide and the limited scalability of traditional care m...

Socioeconomic impact of artificial intelligence-driven point-of-care testing devices for liquid biopsy in the OncoCheck system.

Cancer metastasis reviews
Cancer disparities in low- and middle-income countries (LMICs) persist because of socioeconomic inequalities and limited access to screening infrastructure, which requires equitable diagnostic solutions. As researchers, we need to develop interventio...

Navigating the future of oncology: the transformative role of microrobots in precision cancer therapy.

International journal of pharmaceutics
Systemic chemotherapy has long served as a cornerstone in the management of various malignancies. However, its inherent lack of specificity often leads to significant adverse effects, prompting the exploration of innovative nanomedicine strategies to...

Immune checkpoint inhibitor-related pneumonitis: From guidelines to the front lines.

Respiratory investigation
Immune checkpoint inhibitors (ICIs) have changed cancer treatment, evoking durable responses in various cancers. However, their immune-mediated mechanisms can lead to unique toxicities known as immune-related adverse events (irAEs), among which ICI-r...

Artificial intelligence-based digital pathology using H&E-stained whole slide images in immuno-oncology: from immune biomarker detection to immunotherapy response prediction.

Journal for immunotherapy of cancer
Immuno-oncology and the advent of immunotherapies, in particular immune checkpoint inhibitors (ICIs), have fundamentally altered the way we treat cancer. Yet only a small subset of patients actually responds to ICIs, and many face significant adverse...

Personalizing cancer therapy: the role of pharmacogenetics in overcoming drug resistance and toxicity.

Molecular biology reports
Cancer pharmacogenetics has become a cornerstone of precision oncology. It offers the potential to optimize therapeutic outcomes by tailoring treatments to individual genetic profiles. This review explores the central role of pharmacogenomics in addr...

IgCONDA-PET: Weakly-supervised PET anomaly detection using implicitly-guided attention-conditional counterfactual diffusion modeling - a multi-center, multi-cancer, and multi-tracer study.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Minimizing the need for pixel-level annotated data to train PET lesion detection and segmentation networks is highly desired and can be transformative, given time and cost constraints associated with expert annotations. Current unsupervised or weakly...

Machine learning-assisted exploration of multidrug-drug administration regimens for organoid arrays.

Science advances
Combination therapies enhance the therapeutic effect of cancer treatment; however, identifying effective interdependent doses, durations, and sequences of multidrug administration regimens is a time- and labor-intensive task. Here, we integrated mach...

CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.

BMC biology
BACKGROUND: The advent of single-cell RNA sequencing (scRNA-seq) has provided unprecedented insights into cancer cellular diversity, enabling a comprehensive understanding of cancer at the single-cell level. However, identifying cancer cells remains ...

AI generated annotations for Breast, Brain, Liver, Lungs, and Prostate cancer collections in the National Cancer Institute Imaging Data Commons.

Scientific data
The Artificial Intelligence in Medical Imaging (AIMI) initiative aims to enhance the National Cancer Institute's (NCI) Image Data Commons (IDC) by releasing fully reproducible nnU-Net models, along with AI-assisted segmentation for cancer radiology i...