Results 181 to 190 of about 743,383 (345)

Hippo pathway at the crossroads of stemness and therapeutic resistance in breast cancer

Molecular Oncology, EarlyView.
Dysregulation of the Hippo pathway drives nuclear accumulation of YAP/TAZ, activating stemness‐related transcriptional programs that sustain breast cancer stemness and fuel therapeutic resistance across subtypes, underscoring Hippo signaling as a targetable vulnerability. Figure created and edited with BioRender.com.
Giulia Schiavoni, Antonella Palmese, Stefano Scalera, Laura Cipriani, Davide Mascolo, Patrizia Vici, Teresa Arcuri, Lorena Filomeno, Eriseld Krasniqi, Giovanni Blandino, Giulia Bon, Marcello Maugeri‐Saccà   +11 more
wiley   +1 more source

Advancing epidemic intelligence: evaluating Senegal's mpox surveillance system and readiness for AI-driven predictive modelling. [PDF]

Front Public Health
Faye SLB, Diongue FB, Ndao A, Diop B, Sow GHC, Dia N, Diakhate F, Gadiaga T, Dieye PS, Gueye OKD, Sall Y, Seck I, Gueye YB, Massaly A, Seydi M, Sy I.   +15 more
europepmc   +1 more source

A Validated Scoring Model to Predict the Relapse in the Central Nervous System of Pediatric Acute B-Cell Lymphoblastic Leukemia

Jiacheng Li, Tao Yu, Wenjing Shu, Yali Shen, Xianhao Wen, Yuxia Guo, Xianmin Guan, Jie Yu, Hua You   +8 more
openalex   +1 more source

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

Molecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera, Laura Vela‐Martín, Pablo Fernández‐Navarro, José Luis López‐Lorenzo, Javier Cornago, Pilar Llamas, Eduardo Pérez‐Gómez, José Luis Marín‐Rubio, Manuel Fresno, Javier Santos, José Fernández‐Piqueras, María Villa‐Morales   +11 more
wiley   +1 more source

Towards precision medicine in Tourette syndrome: a perspective on AI-driven predictive modelling and personalised care. [PDF]

Front Comput Neurosci
Zhao C, Li R, Hua L, Li H, Zhang M, Wang B.   +5 more
europepmc   +1 more source

Corrigendum to “Predicting biomass comminution: Physical experiment, population balance model, and deep learning” [Powder Technology 441 (2024) 119830]

Minglei Lu, Yidong Xia, Tiasha Bhattacharjee, Jordan Klinger, Zhen Li   +4 more
openalex   +1 more source

Appendix B. Comparison of seven connectivity models used to predict the colonization patterns of 15 metapopulations.

, 2016
Laura R. Prugh
openalex   +1 more source

CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3

Molecular Oncology, EarlyView.
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh, Nitzan Medina‐Itzhaki, Milena Chekov, Eden Gal‐Swisa, Roba Gabesh‐Wahabi, Inbar Savyon, Inna Naroditsky, Hilary A. Kenny, Basem Fares, Lina Korsensky, Einav Girsh, Liron Berger, Ruth Perets   +12 more
wiley   +1 more source

From data to safer roads: predictive modelling and causal analysis of road fatalities in Australia. [PDF]

Sci Rep
Afshari S, Soltani A, Amiri MA.
europepmc   +1 more source

Corrigendum to: Development and Validation of an Algorithm Model for Predicting Heat Sink Effects during Pulmonary Thermal Ablation

Peng Du, Zenan Chen, Chang Yuwen, Liangliang Meng, Wei Feng, Zongyuan Ge, Xiao Zhang, Yueyong Xiao   +7 more
openalex   +1 more source