Publications by authors named "M Ak"
Background: Glioblastoma is the most aggressive adult primary brain cancer, characterized by significant heterogeneity, posing challenges for patient management, treatment planning, and clinical trial stratification.
Methods: We developed a highly reproducible, personalized prognostication and clinical subgrouping system using machine learning (ML) on routine clinical data, MRI, and molecular measures from 2,838 demographically diverse patients across 22 institutions and 3 continents. Patients were stratified into favorable, intermediate, and poor prognostic subgroups (I, II, III) using Kaplan-Meier analysis (Cox proportional model and hazard ratios [HR]).
Article Synopsis
- * Results showed a significant reduction in the Psoriasis Area and Severity Index (PASI) after 3 and 18 months, with many patients achieving low PASI scores, indicating effective treatment.
- * Improvements in quality of life were noted, and no patients discontinued treatment due to adverse events, suggesting that tildrakizumab has a strong safety profile in a real-world setting.
Article Synopsis
- - The study focuses on the importance of constructive dissent in organizations and examines how social capital (the networks and relationships employees have) influences employees' ability to voice dissent in the workplace.
- - Data was collected through surveys from 240 textile industry employees in Türkiye, and structural equation modeling was utilized to analyze the relationships between social capital, organizational socialization, and dissent behavior.
- - Results show that social capital positively influences both organizational dissent and socialization, with organizational socialization acting as a partial mediator between social capital and dissent, highlighting the role of relationships in fostering an environment for employees to express dissent.
Renewable lignocellulosic biomass is a favorable energy resource since its co-pyrolysis with hydrogen-rich plastics can produce high-yield and high-quality biofuel. In contrast to earlier co-pyrolysis research that concentrated on increasing product yield, this study comprehends the synergistic effects of two distinct feedstocks that were not considered earlier. This work focuses on co-pyrolyzing wheat straw (WS) with non-reusable polyethylene terephthalate (PET) for the production of pyrolysis oil.
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- The study assessed how radiomics—a method of extracting and analyzing features from medical images—can predict the tumor microenvironment (TME) and response to anti-PD-1 treatment in patients with recurrent/metastatic head and neck squamous cell carcinoma (HNSCC).
- Using advanced techniques like CT scans and machine learning algorithms, researchers built models to evaluate disease control rates, progression-free survival, and overall survival, alongside assessing tumor characteristics like hypoxia and immune cell presence.
- Findings indicated that radiomics could accurately predict treatment outcomes and TME features, suggesting its potential as a valuable tool, although more extensive research is needed to confirm these results.