Data mining analyses for precision medicine in acromegaly: a proof
Por um escritor misterioso
Last updated 28 março 2025


The Impact of Adipose Tissue on Insulin Resistance in Acromegaly: Trends in Endocrinology & Metabolism

Deep learning facilitates multi-data type analysis and predictive biomarker discovery in cancer precision medicine - Computational and Structural Biotechnology Journal

Unmasking a new prognostic marker and therapeutic target from the GDNF-RET/PIT1/p14ARF/p53 pathway in acromegaly - eBioMedicine

Machine learning applications in imaging analysis for patients with pituitary tumors: a review of the current literature and future directions

Use of lanreotide in combination with cabergoline or pegvisomant in patients with acromegaly in the clinical practice: The ACROCOMB study

Using a Precision Approach to Optimize the Drug Therapy of Patients with Acromegaly Syndrome

Systems analyses of the Fabry kidney transcriptome and its response to enzyme replacement therapy identified and cross-validated enzyme replacement therapy-resistant targets amenable to drug repurposing - Kidney International

Evaluating the Impact of Acromegaly on Quality of Life - Endocrinology and Metabolism Clinics

Sleep Apnea: Types, Mechanisms, and Clinical Cardiovascular Consequences

ПРОГНОЗ ОТДАЛЕННЫХ РЕЗУЛЬТАТОВ ХИРУРГИЧЕСКОГО И МЕДИКАМЕНТОЗНОГО ЛЕЧЕНИЯ ПАЦИЕНТОВ С СИНДРОМОМ АКРОМЕГАЛИИ – тема научной статьи по клинической медицине читайте бесплатно текст научно-исследовательской работы в электронной библиотеке КиберЛенинка

Use of lanreotide in combination with cabergoline or pegvisomant in patients with acromegaly in the clinical practice: The ACROCOMB study

Molecular profiling for acromegaly treatment: a validation study in: Endocrine-Related Cancer Volume 27 Issue 6 (2020)

Proteomics of the human pituitary tissue: bioanalytical methods and applications
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