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Oncology
Prevention and treatment of tumors, and caring for cancer patients.
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Immune targets for chemotherapy-resistant breast cancers identified

Immune targets for chemotherapy-resistant breast cancers identified

byKing's College LondonAnalysis of stromal TILs in residual disease and prognostic implications. A) Kaplan–Meier curves for i) progression free survival and ii) overall survival in ER+HER2-

Immune targets for chemotherapy-resistant breast cancers identified

byKing's College LondonAnalysis of stromal TILs in residual disease and prognostic implications. A) Kaplan–Meier curves for i) progression free survival and ii) overall survival in ER+HER2-
Predictive molecular biomarkers for determining neoadjuvant chemosensitivity in muscle invasive bladder cancer

Predictive molecular biomarkers for determining neoadjuvant chemosensitivity in muscle invasive bladder cancer

by Impact Journals LLCVolcano plot of significant differentially expressed genes with the left volcano being the discovery cohort and validation cohort on the right. Credit:Oncotarget(2022

Predictive molecular biomarkers for determining neoadjuvant chemosensitivity in muscle invasive bladder cancer

by Impact Journals LLCVolcano plot of significant differentially expressed genes with the left volcano being the discovery cohort and validation cohort on the right. Credit:Oncotarget(2022
Identifying the underlying causes of ovarian cancer

Identifying the underlying causes of ovarian cancer

byCedars-Sinai Medical CenterSimon Gayther, PhD, professor of Biomedical Sciences, and Michelle Jones, PhD, a research scientist in the Center for Bioinformatics and Functional Genomics, led the

Identifying the underlying causes of ovarian cancer

byCedars-Sinai Medical CenterSimon Gayther, PhD, professor of Biomedical Sciences, and Michelle Jones, PhD, a research scientist in the Center for Bioinformatics and Functional Genomics, led the
Identifying drug target candidates to treat pediatric rhabdomyosarcoma tumors

Identifying drug target candidates to treat pediatric rhabdomyosarcoma tumors

by Thamarasee Jeewandara , Medical XpressscRNAseq of RMS identifies heterogeneity recapitulating muscle developmental programs. (A) Experimental workflow. (B) UMAP plot of 48,859 RMS cells after regre

Identifying drug target candidates to treat pediatric rhabdomyosarcoma tumors

by Thamarasee Jeewandara , Medical XpressscRNAseq of RMS identifies heterogeneity recapitulating muscle developmental programs. (A) Experimental workflow. (B) UMAP plot of 48,859 RMS cells after regre
Making melanoma immortal: Scientists discover key genetic step in cancer's race to live forever

Making melanoma immortal: Scientists discover key genetic step in cancer's race to live forever

byUniversity of PittsburghHuman chromosomes (gray) capped by telomeres (white). Credit: PD-NASA; PD-USGOV-NASAScientists at the University of Pittsburgh School of Medicine have discovered the mi

Making melanoma immortal: Scientists discover key genetic step in cancer's race to live forever

byUniversity of PittsburghHuman chromosomes (gray) capped by telomeres (white). Credit: PD-NASA; PD-USGOV-NASAScientists at the University of Pittsburgh School of Medicine have discovered the mi
Artificial intelligence approach may help identify melanoma survivors who face a high risk of cancer recurrence

Artificial intelligence approach may help identify melanoma survivors who face a high risk of cancer recurrence

by Katie Marquedant,Massachusetts General HospitalDistribution of recurrent melanomas in the study population. Among the 310 recurrent melanomas, 255 (82%) recurred within five years and 285 (92

Artificial intelligence approach may help identify melanoma survivors who face a high risk of cancer recurrence

by Katie Marquedant,Massachusetts General HospitalDistribution of recurrent melanomas in the study population. Among the 310 recurrent melanomas, 255 (82%) recurred within five years and 285 (92
Artificial intelligence-aided colonoscopy does not increase cancer detection

Artificial intelligence-aided colonoscopy does not increase cancer detection

by Elana GotkineAdenoma and polyp detection rates (ADR/PDR) are lower with use of artificial intelligence-aided colonoscopy (AIAC), according to a study published in the November issue ofThe&nbs

Artificial intelligence-aided colonoscopy does not increase cancer detection

by Elana GotkineAdenoma and polyp detection rates (ADR/PDR) are lower with use of artificial intelligence-aided colonoscopy (AIAC), according to a study published in the November issue ofThe&nbs
AI assistance may improve accuracy of breast cancer screening

AI assistance may improve accuracy of breast cancer screening

A decision-referral approach could leverage the strengths of both the radiologist and artificial intelligence to improve the diagnostic capability for breast cancer screening, according to a study pub

AI assistance may improve accuracy of breast cancer screening

A decision-referral approach could leverage the strengths of both the radiologist and artificial intelligence to improve the diagnostic capability for breast cancer screening, according to a study pub
Enabling early detection of cancer with AI-based chromatin biomarkers

Enabling early detection of cancer with AI-based chromatin biomarkers

by Werner Siefer,Paul Scherrer InstituteOverview of our platform to study the chromatin organization of peripheral blood mononuclear cells in a tumor and proton therapy setting. Credit:npj

Enabling early detection of cancer with AI-based chromatin biomarkers

by Werner Siefer,Paul Scherrer InstituteOverview of our platform to study the chromatin organization of peripheral blood mononuclear cells in a tumor and proton therapy setting. Credit:npj
AI improving digestive cancer diagnosis, but data-sharing obstacles remain

AI improving digestive cancer diagnosis, but data-sharing obstacles remain

by Health Data ScienceThe AI analysis workflow in digestive system neoplasms. SVM, support vector machine; LASSO, the least absolute shrinkage and selection operator; LN, lymph node; ROC, receiver ope

AI improving digestive cancer diagnosis, but data-sharing obstacles remain

by Health Data ScienceThe AI analysis workflow in digestive system neoplasms. SVM, support vector machine; LASSO, the least absolute shrinkage and selection operator; LN, lymph node; ROC, receiver ope
Artificial intelligence tool developed to predict risk of lung cancer

Artificial intelligence tool developed to predict risk of lung cancer

byMassachusetts General HospitalCredit: CC0 Public DomainLung cancer is the leading cause of cancer death in the United States and around the world. Low-dose chest computed tomography (LDCT) is

Artificial intelligence tool developed to predict risk of lung cancer

byMassachusetts General HospitalCredit: CC0 Public DomainLung cancer is the leading cause of cancer death in the United States and around the world. Low-dose chest computed tomography (LDCT) is
AI could improve diagnostic accuracy of breast dynamic contrast-enhanced magnetic resonance imaging

AI could improve diagnostic accuracy of breast dynamic contrast-enhanced magnetic resonance imaging

A deep learning (DL) system could improve the diagnostic accuracy of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of breast tissue for detecting breast cancer, according to a study p

AI could improve diagnostic accuracy of breast dynamic contrast-enhanced magnetic resonance imaging

A deep learning (DL) system could improve the diagnostic accuracy of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of breast tissue for detecting breast cancer, according to a study p