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Oncology
Prevention and treatment of tumors, and caring for cancer patients.
Sub Categories on Oncology
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New near-infrared activated photo-oxidants kill cancer cells without oxygen

New near-infrared activated photo-oxidants kill cancer cells without oxygen

A research team led by scientists from City University of Hong Kong (CityU) has achieved a significant breakthrough by inventing a new class of near-infrared-activated photo-oxidants that can effectiv

New near-infrared activated photo-oxidants kill cancer cells without oxygen

A research team led by scientists from City University of Hong Kong (CityU) has achieved a significant breakthrough by inventing a new class of near-infrared-activated photo-oxidants that can effectiv
Report: Cancer deaths continue downward trend, modest improvements in survival for pancreatic cancer

Report: Cancer deaths continue downward trend, modest improvements in survival for pancreatic cancer

byNational Cancer InstituteAge-standardized, delay-adjusted overall cancer incidence rates (2014–2018) and age-standardized overall cancer death rates (2015–2019) are illustrated for all cancer

Report: Cancer deaths continue downward trend, modest improvements in survival for pancreatic cancer

byNational Cancer InstituteAge-standardized, delay-adjusted overall cancer incidence rates (2014–2018) and age-standardized overall cancer death rates (2015–2019) are illustrated for all cancer
ctDNA Could Serve as a Prognostic Tool in China for Predicting Outcomes in DLBCL

ctDNA Could Serve as a Prognostic Tool in China for Predicting Outcomes in DLBCL

September 12, 2022Lisa AstorResults from a retrospective analysis presented during the 2022 ESMO Congress indicated that circulating tumor DNA could potentially be leveraged as a prognostic factor and

ctDNA Could Serve as a Prognostic Tool in China for Predicting Outcomes in DLBCL

September 12, 2022Lisa AstorResults from a retrospective analysis presented during the 2022 ESMO Congress indicated that circulating tumor DNA could potentially be leveraged as a prognostic factor and
Researchers discover resistance to liver cancer treatment

Researchers discover resistance to liver cancer treatment

byUniversity of Hawaii at ManoaCredit: Pixabay/CC0 Public DomainLiver cancer is the fourth deadliest cancer in Hawaiʻi, particularly affecting Native Hawaiian, Filipino and Japanese men. Patient

Researchers discover resistance to liver cancer treatment

byUniversity of Hawaii at ManoaCredit: Pixabay/CC0 Public DomainLiver cancer is the fourth deadliest cancer in Hawaiʻi, particularly affecting Native Hawaiian, Filipino and Japanese men. Patient
Trabectedin/Durvalumab Shows Early Activity, Demonstrates Feasibility for Soft Tissue Sarcoma

Trabectedin/Durvalumab Shows Early Activity, Demonstrates Feasibility for Soft Tissue Sarcoma

September 21, 2020Nichole Tuckerhe feasibility of treatment with trabectedin in combination with durvalumab as treatment of patients with advanced or metastatic pretreated soft tissue sarcoma was demo

Trabectedin/Durvalumab Shows Early Activity, Demonstrates Feasibility for Soft Tissue Sarcoma

September 21, 2020Nichole Tuckerhe feasibility of treatment with trabectedin in combination with durvalumab as treatment of patients with advanced or metastatic pretreated soft tissue sarcoma was demo
Acalabrutinib Approved in China for Chronic Lymphocytic Leukemia

Acalabrutinib Approved in China for Chronic Lymphocytic Leukemia

September 5, 2023Kristi RosaThe National Medical Products Administration in China has approved acalabrutinib for use in adult patients with chronic lymphocytic leukemia or small lymphocytic lymphoma w

Acalabrutinib Approved in China for Chronic Lymphocytic Leukemia

September 5, 2023Kristi RosaThe National Medical Products Administration in China has approved acalabrutinib for use in adult patients with chronic lymphocytic leukemia or small lymphocytic lymphoma w
Using mathematical modeling and dynamic biomarkers to characterize metastatic disease during adaptive therapy

Using mathematical modeling and dynamic biomarkers to characterize metastatic disease during adaptive therapy

byH. Lee Moffitt Cancer Center & Research InstituteMathematical model overview and design. A, Simulated treatment trajectory. During the seeding/growth phase, metastases are seeded and grown

Using mathematical modeling and dynamic biomarkers to characterize metastatic disease during adaptive therapy

byH. Lee Moffitt Cancer Center & Research InstituteMathematical model overview and design. A, Simulated treatment trajectory. During the seeding/growth phase, metastases are seeded and grown
Iflinatamab Deruxtecan Elicits Clinical Activity in SCLC

Iflinatamab Deruxtecan Elicits Clinical Activity in SCLC

September 10, 2023Jonah FeldmanTreatment with the antibody-drug conjugate ifinatamab deruxtecan in heavily pretreated patients with small cell lung cancer led to promising efficacy and a manageable sa

Iflinatamab Deruxtecan Elicits Clinical Activity in SCLC

September 10, 2023Jonah FeldmanTreatment with the antibody-drug conjugate ifinatamab deruxtecan in heavily pretreated patients with small cell lung cancer led to promising efficacy and a manageable sa
Using machine learning to identify undiagnosable cancers

Using machine learning to identify undiagnosable cancers

by Bendta Schroeder,Massachusetts Institute of Technology“Machine learning tools like this one could empower oncologists to choose more effective treatments and give more guidance to their patie

Using machine learning to identify undiagnosable cancers

by Bendta Schroeder,Massachusetts Institute of Technology“Machine learning tools like this one could empower oncologists to choose more effective treatments and give more guidance to their patie
Rise in skin cancer cases underscores importance of early detection using machine learning

Rise in skin cancer cases underscores importance of early detection using machine learning

In a recent review published in theLifeJournal, a group of authors reviewed image-processing techniques in machine learning (ML) for skin cancer detection using clinical images, evaluating

Rise in skin cancer cases underscores importance of early detection using machine learning

In a recent review published in theLifeJournal, a group of authors reviewed image-processing techniques in machine learning (ML) for skin cancer detection using clinical images, evaluating