AIMC Topic: Neoplasms

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Improving PET Imaging Acquisition and Analysis With Machine Learning: A Narrative Review With Focus on Alzheimer's Disease and Oncology.

Molecular imaging
Machine learning (ML) algorithms have found increasing utility in the medical imaging field and numerous applications in the analysis of digital biomarkers within positron emission tomography (PET) imaging have emerged. Interest in the use of artific...

Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
BACKGROUND: MicroRNAs (miRNAs) are small, non-coding RNA that regulate gene expression through post-transcriptional silencing. Differential expression observed in miRNAs, combined with advancements in deep learning (DL), have the potential to improve...

PLATYPUS: A Multiple-View Learning Predictive Framework for Cancer Drug Sensitivity Prediction.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Cancer is a complex collection of diseases that are to some degree unique to each patient. Precision oncology aims to identify the best drug treatment regime using molecular data on tumor samples. While omics-level data is becoming more widely availa...

Cancer Phenotype Development: A Literature Review.

Studies in health technology and informatics
EHR-based, computable phenotypes can be leveraged by healthcare organizations and researchers to improve the cohort identification process. The ability to identify patient cohorts using aspects of care and outcomes based on clinical characteristics o...

Autophagy and Apoptosis Specific Knowledgebases-guided Systems Pharmacology Drug Research.

Current cancer drug targets
BACKGROUND: Autophagy and apoptosis are the basic physiological processes in cells that clean up aged and mutant cellular components or even the entire cells. Both autophagy and apoptosis are disrupted in most major diseases such as cancer and neurol...

Recent Progress in Machine Learning-based Prediction of Peptide Activity for Drug Discovery.

Current topics in medicinal chemistry
Over the past decades, peptide as a therapeutic candidate has received increasing attention in drug discovery, especially for antimicrobial peptides (AMPs), anticancer peptides (ACPs) and antiinflammatory peptides (AIPs). It is considered that the pe...

[Artificial Intelligence for Cancer Genomic Medicine: Understanding Cancer is Beyond Human Ability].

Brain and nerve = Shinkei kenkyu no shinpo
Cancer is a very complex disease that is caused by mutations in genomes and evolves spatiotemporally in a patient. Our institute implemented IBM Watson for Genomics and realized a turnaround time for patient diagnosis of less than four days that incl...

Virtual Screening of Anti-Cancer Compounds: Application of Monte Carlo Technique.

Anti-cancer agents in medicinal chemistry
Possibility and necessity of standardization of predictive models for anti-cancer activity are discussed. The hypothesis about rationality of common quantitative analysis of anti-cancer activity and carcinogenicity is developed. Potential of optimal ...

[Application and prospect of artificial intelligence in cancer diagnosis and treatment].

Zhonghua zhong liu za zhi [Chinese journal of oncology]
Artificial intelligence is a man-made device that simulates intellectual work such as human thinking and judgment. There are many successful applications of artificial intelligence in the fields of medicine, healthcare, agriculture, education, financ...