Results 11 to 20 of about 53,579 (265)

A rare extramedullary involvement in myeloma: lung parenchyma and association with unfavorable chromosomal abnormalities

open access: yesTurkish Journal of Hematology, 2010
Although pulmonary complications developing secondary to lung infections and involvement in ribs occur frequently in multiple myeloma (MM), involvement of the lung parenchyma is quite rare. In clinical studies, the involvement of lung parenchyma has been
Özlem Şahin Balçık   +6 more
doaj   +1 more source

Molecular Drivers of Myelodysplastic Neoplasms (MDS)—Classification and Prognostic Relevance

open access: yesCells, 2023
Myelodysplastic neoplasms (MDS) form a broad spectrum of clonal myeloid malignancies arising from hematopoietic stem cells that are characterized by progressive and refractory cytopenia and morphological dysplasia.
Fieke W. Hoff, Yazan F. Madanat
doaj   +1 more source

The Diagnostic and Prognostic Role of Biomarkers in Chronic Rhinosinusitis

open access: yesDiagnostics, 2023
Chronic rhinosinusitis (CRS) refers to an inflammatory disease of the sinonasal mucosa, with a significant economic burden and impact on quality of life.
Jun Jie Seah, Mark Thong, De Yun Wang
doaj   +1 more source

Cardiovascular and Renal Comorbidities Included into Neural Networks Predict the Outcome in COVID-19 Patients Admitted to an Intensive Care Unit: Three-Center, Cross-Validation, Age- and Sex-Matched Study

open access: yesJournal of Cardiovascular Development and Disease, 2023
Here, we performed a multicenter, age- and sex-matched study to compare the efficiency of various machine learning algorithms in the prediction of COVID-19 fatal outcomes and to develop sensitive, specific, and robust artificial intelligence tools for ...
Evgeny Ovcharenko   +15 more
doaj   +1 more source

S-GRAS score performs better than a model from SEER for patients with adrenocortical carcinoma

open access: yesEndocrine Connections, 2022
Purpose: To externally validate the performance of the S-GRAS score and a model from the Surveillance, Epidemiology, and End Results (SEER) database in a Chinese cohort of patients with adrenocortical carcinoma (ACC).
Wenhao Lin   +9 more
doaj   +1 more source

Prognosticators and Prognostic Nomograms for Leiomyosarcoma Patients With Metastasis

open access: yesFrontiers in Oncology, 2022
Individual survival prediction and risk stratification are of vital importance to optimize the individualized treatment of metastatic leiomyosarcoma (LMS) patients. This study aimed to identify the prognostic factors for metastatic LMS patients and establish prognostic models for overall survival (OS) and cancer-specific survival (CSS). The data of LMS
YuChi Zou   +6 more
openaire   +3 more sources

«Molte altre anchora profetie abiano veduto». Alcuni testi profetici «intrusi» nell’unica copia manoscritta conosciuta della Pronosticazione del Lichtenberger

open access: yesLaboratoire Italien, 2018
The article aims at shedding light on a collection of prophetic texts contained in an early sixteenth-century Italian manuscript of medical prescriptions and prognostications from Florence and Ferrara (ms. 425, Wellcome Historical Medical Library, London)
Michela Del Savio
doaj   +1 more source

Deep learning for EEG-based prognostication after cardiac arrest: from current research to future clinical applications

open access: yesFrontiers in Neurology, 2023
Outcome prognostication in comatose patients after cardiac arrest (CA) remains to date a challenge. The major determinant of clinical outcome is the post-hypoxic/ischemic encephalopathy.
Frederic Zubler   +2 more
doaj   +1 more source

Prognostication in palliative radiotherapy—ProPaRT: Accuracy of prognostic scores

open access: yesFrontiers in Oncology, 2022
BackgroundPrognostication can be used within a tailored decision-making process to achieve a more personalized approach to the care of patients with cancer. This prospective observational study evaluated the accuracy of the Palliative Prognostic score (PaP score) to predict survival in patients identified by oncologists as candidates for palliative ...
Maltoni, Marco   +10 more
openaire   +4 more sources

Deep Machine Learning for Oral Cancer: From Precise Diagnosis to Precision Medicine

open access: yesFrontiers in Oral Health, 2022
Oral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide and its incidence is on the rise in many populations. The high incidence rate, late diagnosis, and improper treatment planning still form a significant concern.
Rasheed Omobolaji Alabi   +8 more
doaj   +1 more source

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