AIMC Topic: Antineoplastic Combined Chemotherapy Protocols
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Survival prediction and treatment optimization of multiple myeloma patients using machine-learning models based on clinical and gene expression data.
Leukemia
May 18, 2021
Multiple myeloma (MM) remains mostly an incurable disease with a heterogeneous clinical evolution. Despite the availability of several prognostic scores, substantial room for improvement still exists. Promising results have been obtained by integrati...
Artificial Intelligence-Assisted Amphiregulin and Epiregulin IHC Predicts Panitumumab Benefit in Wild-Type Metastatic Colorectal Cancer.
Clinical cancer research : an official journal of the American Association for Cancer Research
Apr 22, 2021
PURPOSE: High tumor mRNA levels of the EGFR ligands amphiregulin (AREG) and epiregulin (EREG) are associated with anti-EGFR agent response in metastatic colorectal cancer (mCRC). However, ligand RNA assays have not been adopted into routine practice ...
Identification of drug combinations on the basis of machine learning to maximize anti-aging effects.
PloS one
Jan 28, 2021
Aging is a multifactorial process that involves numerous genetic changes, so identifying anti-aging agents is quite challenging. Age-associated genetic factors must be better understood to search appropriately for anti-aging agents. We utilized an ag...
Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Drug combinations targeting multiple targets/pathways are believed to be able to reduce drug resistance. Computational models are essential for novel drug combination discovery. In this study, we proposed a new simplified deep learning model, for dr...
Utilization of circulating cell-free DNA profiling to guide first-line chemotherapy in advanced lung squamous cell carcinoma.
Theranostics
Jan 1, 2021
Platinum-based chemotherapy is one of treatment mainstay for patients with advanced lung squamous cell carcinoma (LUSC) but it is still a "one-size fits all" approach. Here, we aimed to investigate the predictive and monitoring role of circulating c...
Humans
Aged
Survival Rate
Male
Middle Aged
Lung Neoplasms
Machine Learning
Prognosis
Female
Carcinoma, Squamous Cell
Cisplatin
Gemcitabine
Paclitaxel
Circulating Tumor DNA
Antineoplastic Combined Chemotherapy Protocols
Progression-Free Survival
Deoxycytidine
Treatment Outcome
Cell-Free Nucleic Acids
DNA Copy Number Variations
Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HR+)/HER2-negative advanced breast cancer patients.
European journal of cancer (Oxford, England : 1990)
Dec 26, 2020
BACKGROUND: CDK4/6 inhibitors plus endocrine therapies are the current standard of care in the first-line treatment of HR+/HER2-negative metastatic breast cancer, but there are no well-established clinical or molecular predictive factors for patient ...
Antineoplastic Combined Chemotherapy Protocols
Follow-Up Studies
Natural Language Processing
Receptor, ErbB-2
Receptors, Estrogen
Receptors, Progesterone
Survival Rate
Breast Neoplasms
Middle Aged
Disease Progression
Aged
Aged, 80 and over
Young Adult
Adult
Humans
Retrospective Studies
Machine Learning
Electronic Health Records
Prognosis
Female
H-RACS: a handy tool to rank anti-cancer synergistic drugs.
Aging
Nov 10, 2020
Though promising, identifying synergistic combinations from a large pool of candidate drugs remains challenging for cancer treatment. Due to unclear mechanism and limited confirmed cases, only a few computational algorithms are able to predict drug s...
Synergistic drug combinations and machine learning for drug repurposing in chordoma.
Scientific reports
Jul 31, 2020
Chordoma is a devastating rare cancer that affects one in a million people. With a mean-survival of just 6 years and no approved medicines, the primary treatments are surgery and radiation. In order to speed new medicines to chordoma patients, a drug...
A priori prediction of tumour response to neoadjuvant chemotherapy in breast cancer patients using quantitative CT and machine learning.
Scientific reports
Jul 2, 2020
Response to Neoadjuvant chemotherapy (NAC) has demonstrated a high correlation to survival in locally advanced breast cancer (LABC) patients. An early prediction of responsiveness to NAC could facilitate treatment adjustments on an individual patient...
Antineoplastic Combined Chemotherapy Protocols
Neoadjuvant Therapy
Follow-Up Studies
Receptor, ErbB-2
Carcinoma, Ductal, Breast
Receptors, Estrogen
Receptors, Progesterone
Carcinoma, Lobular
Humans
Breast Neoplasms
Machine Learning
Middle Aged
Prognosis
Adolescent
Aged
Tomography, X-Ray Computed
ROC Curve
Aged, 80 and over
Female
Young Adult
Adult
Robot-assisted combined pancreatectomy/hepatectomy for metastatic pancreatic acinar cell carcinoma: case report and review of the literature.
Clinical journal of gastroenterology
Jun 25, 2020
Acinar cell carcinoma (ACC) of the pancreas is a rare neoplasm with less aggressive behavior than ductal carcinoma. As a result, surgical resection for metastatic ACC is a therapeutic option which can result in long-term survival. There is a paucity ...
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