Results 171 to 180 of about 659,160 (268)

Retraction notice to "Localization and grading of NPDR lesions using ResNet-18-YOLOv8 model and informative features selection for DR classification based on transfer learning" [Heliyon 10 (2024) e30954]. [PDF]

Heliyon
Amin J, Shazadi I, Sharif M, Yasmin M, Almujally NA, Nam Y.   +5 more
europepmc   +1 more source

Inhibition of CDK9 enhances AML cell death induced by combined venetoclax and azacitidine

Molecular Oncology, EarlyView.
The CDK9 inhibitor AZD4573 downregulates c‐MYC and MCL‐1 to induce death of cytarabine (AraC)‐resistant AML cells. This enhances VEN + AZA‐induced cell death significantly more than any combination of two of the three drugs in AraC‐resistant AML cells.
Shuangshuang Wu, Jianlei Zhao, Aaban Asfar Azmi, Avanti Gupte, Jenna Thibodeau, Shuang Liu, Jinli Yang, Guan Wang, Holly Edwards, Lisa A. Polin, Juiwanna Kushner, Sijana H. Dzinic, Kathryn White, Julie Boerner, Maik Hüttemann, Jay Yang, Yue Wang, Jeffrey W. Taub, Yubin Ge   +18 more
wiley   +1 more source

The Mediating Role of Depression and the Moderating Role of Game Genre in the Relationship Between Suicidal Thoughts and Computer Game Addiction Among Adolescents in Tehran. [PDF]

Actas Esp Psiquiatr
Rezvani N, Jahanbakhshi Z, Tabatabaeian A, Pajouhinia S, Ahmadi SJ.   +4 more
europepmc   +1 more source

Toward a Globalized Understanding of Computer Science Education [PDF]

Amruth N. Kumar, Rajendra K. Raj
openalex   +1 more source

The ACCEPTance of automation: refining circulating tumor cells enumeration for improved metastatic colorectal cancer prognosis

Molecular Oncology, EarlyView.
This study highlights the potential of automated enumeration using the ACCEPT software to refine circulating tumor cell (CTC) detection in metastatic colorectal cancer (mCRC). The automated method demonstrates improved accuracy and reduced variability compared to the manual approach.
Michela De Meo, Marco Siringo, Alessandro Vici, Ann Zeuner, Orietta Gandini, Paola Gazzaniga, Chiara Nicolazzo   +6 more
wiley   +1 more source

Addressing the broader implications of AI-AI bias in decision-making systems. [PDF]

Proc Natl Acad Sci U S A
Yu Z.
europepmc   +1 more source

A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression

Molecular Oncology, EarlyView.
Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak, Bodee Nutho, Worawat Wattanathana, Narumon Phaonakrop, Bunnatut Panasawatwong, Katharina Erlenbach‐Wuensch, Sittiruk Roytrakul, Regine Schneider‐Stock, Pithi Chanvorachote   +8 more
wiley   +1 more source

Corrigendum to "Radiomics model based on computed tomography images for prediction of radiation-induced optic neuropathy following radiotherapy of brain and head and neck tumors" [Volume 11, Issue 1, 15 January 2025, e41409]. [PDF]

Heliyon
Nafchi ER, Fadavi P, Amiri S, Cheraghi S, Garousi M, Nabavi M, Daneshi I, Gomar M, Molaie M, Nouraeinejad A.   +9 more
europepmc   +1 more source

Adaptaquin is selectively toxic to glioma stem cells through disruption of iron and cholesterol metabolism

Molecular Oncology, EarlyView.
Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.
Adrien M. Vaquié, Davod R. Shah, Eliane E. S. Brechbühl, Michael McNicholas, Zhaoyang Xu, John H. Stockley, Laura Morcom, Diana Gold Diaz, Gemma C. Girdler, Rachel V. Seear, Gabriel Balmus, Rajiv R. Ratan, Harry Bulstrode, James A. Nathan, Manav Pathania, Kevin M. Brindle, David H. Rowitch   +16 more
wiley   +1 more source

Publisher Correction: Predicting coronary heart disease with advanced machine learning classifiers for improved cardiovascular risk assessment. [PDF]

Sci Rep
Rehman MU, Naseem S, Butt AUR, Mahmood T, Khan AR, Khan I, Khan J, Jung Y.   +7 more
europepmc   +1 more source