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Wyniki wyszukiwania dla: PERSONALIZED MEDICINE
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Recent advances in 3D bioprinted tumor models for personalized medicine
PublikacjaCancerous tumors are among the most fatal diseases worldwide, claiming nearly 10 million lives in 2020. Due to their complex and dynamic nature, modeling tumors accurately is a challenging task. Current models suffer from inadequate translation between in vitro and in vivo results, primarily due to the isotropic nature of tumors and their microenvironment's relationship. To address these limitations, hydrogel-based 3D bioprinting...
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Personalized Medicine
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Future of medicine: personalized oncology
PublikacjaUnderstanding genetic and epigenetic mechanisms of tumorigenesis allows identifying many vital mutations affected the formation of various malignancies. This led to the discovery of a new therapeutic approach, based on molecular mechanisms in the world of medicine, which is called personalized medicine (PM). This review aims to outline the state of the art of the personalized medicine in treatment, taking into account anti-cancer...
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Pharmacogenomics & Personalized Medicine
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Personalized Medicine in Psychiatry
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Journal of Personalized Medicine
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Current Pharmacogenomics and Personalized Medicine
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Immunoscore, circulating tumor cells and human-derived organoids as potential predictive tools in personalized cancer medicine
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The Influence of Slice Thickness, Sharpness, and Contrast Adjustments on Inferior Alveolar Canal Segmentation on Cone-Beam Computed Tomography Scans: A Retrospective Study
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Perception of Pathologists in Poland of Artificial Intelligence and Machine Learning in Medical Diagnosis—A Cross-Sectional Study
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An Overview of the Application of Systems Biology in an Understanding of Chronic Rhinosinusitis (CRS) Development
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Molecular Imaging and Nanotechnology—Emerging Tools in Diagnostics and Therapy
PublikacjaPersonalized medicine is emerging as a new goal in the diagnosis and treatment of diseases. This approach aims to establish differences between patients suffering from the same disease, which allows to choose the most effective treatment. Molecular imaging (MI) enables advanced insight into molecule interactions and disease pathology, improving the process of diagnosis and therapy and, for that reason, plays a crucial role in personalized...
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Drug Metabolism and Personalized Therapy
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Agnieszka Pastula Dr
OsobyAgnieszka received her masters degree in biology at Jagiellonian University (Poland). Besides standard university classes, she did multiple extracurricular research internships in both basic science and medical life sciences e.g. at Warsaw University, Jagiellonian University College of Medicine, University of Medical Sciences in Poznań and University Medical Center Utrecht, that provided her with excellent interdisciplinary training...
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Małgorzata Pawłowicz dr n. med.
OsobyMałgorzata Pawłowicz MD PhD is a paediatrician and paediatric neurologist (Department of Developmental Neurology; Medical University of Gdańsk, Poland) and a resident in clinical genetics (Genetic Outpatient Clinic, Children's Memorial Health Institute in Warsaw, Poland). She studied medicine and received her Master Degree in Paediatrics and Paediatric Neurology at Medical University of Gdańsk. Dr. Pawłowicz completed her PhD studies...
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Preoperative Ultrasonographic Assessment of the Anterior Pelvic Plane for Personalized Total Hip Replacement
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Biopolymers and Their Composites for Drug Delivery: A Brief Review
PublikacjaIn recent years, excipient development has become a core area of research in pharmaceutical drug delivery because it influences the formulation development and drug delivery process in various ways. Polymeric drug delivery systems have been of great interest for controlled delivery as they show the great advantage in drug delivery systems because of optimized drug loading and releasing property. Then, the side effects of synthetic...
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Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data
PublikacjaControlled ovarian stimulation is tailored to the patient based on clinical parameters but estimating the number of retrieved metaphase II (MII) oocytes is a challenge. Here, we have developed a model that takes advantage of the patient’s genetic and clinical characteristics simultaneously for predicting the stimulation outcome. Sequence variants in reproduction-related genes identified by next-generation sequencing were matched...