Precision Medicine in Oncology

Precision Medicine in Oncology
Author: Bulent Aydogan
Publisher: John Wiley & Sons
Total Pages: 288
Release: 2020-11-02
Genre: Medical
ISBN: 1119432448

A FRESH EXAMINATION OF PRECISION MEDICINE'S INCREASINGLY PROMINENT ROLE IN THE FIELD OF ONCOLOGY Precision medicine takes into account each patient's specific characteristics and requirements to arrive at treatment plans that are optimized towards the best possible outcome. As the field of oncology continues to advance, this tailored approach is becoming more and more prevalent, channelling data on genomics, proteomics, metabolomics and other areas into new and innovative methods of practice. Precision Medicine in Oncology draws together the essential research driving the field forward, providing oncology clinicians and trainees alike with an illuminating overview of the technology and thinking behind the breakthroughs currently being made. Topics covered include: Biologically-guided radiation therapy Informatics for precision medicine Molecular imaging Biomarkers for treatment assessment Big data Nanoplatforms Casting a spotlight on this emerging knowledge base and its impact upon the management of tumors, Precision Medicine in Oncology opens up new possibilities and ways of working – not only for oncologists, but also for molecular biologists, radiologists, medical geneticists, and others.

Deep Learning for Cancer Diagnosis

Deep Learning for Cancer Diagnosis
Author: Utku Kose
Publisher: Springer Nature
Total Pages: 311
Release: 2020-09-12
Genre: Technology & Engineering
ISBN: 9811563217

This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.

Biomarkers in Breast Cancer

Biomarkers in Breast Cancer
Author: Giampietro Gasparini
Publisher: Springer Science & Business Media
Total Pages: 335
Release: 2008-01-17
Genre: Medical
ISBN: 159259915X

Expert laboratory and clinical researchers from around the world review how to design and evaluate studies of tumor markers and examine their use in breast cancer patients. The authors cover both the major advances in sophisticated molecular methods and the state-of-the-art in conventional prognostic and predictive indicators. Among the topics discussed are the relevance of rigorous study design and guidelines for the validation studies of new biomarkers, gene expression profiling by tissue microarrays, adjuvant systemic therapy, and the use of estrogen, progesterone, and epidermal growth factor receptors as both prognostic and predictive indicators. Highlights include the evaluation of HER2 and EGFR family members, of p53, and of UPA/PAI-1; the detection of rare cells in blood and marrow; and the detection and analysis of soluble, circulating markers.

Rare Genitourinary Tumors

Rare Genitourinary Tumors
Author: Lance Pagliaro
Publisher: Springer
Total Pages: 372
Release: 2016-06-28
Genre: Medical
ISBN: 3319300466

Rare Genitourinary Tumors offers the reader an up-to-date discussion of the less common neoplasms affecting the urinary tract and reproductive organs. Each authoritative chapter provides and in-depth discussion that is frequently not found in other urologic oncology textbooks. A valuable reference for urologists, oncologists, and those in specialty training, this volume provides ready access to information on etiology, incidence, risk factors, diagnosis, prognosis, insights from molecular pathology and, where applicable, data from clinical trials. The practical treatment guidelines included for each tumor type are written by experts and fully referenced.

The Cell Biology of Stem Cells

The Cell Biology of Stem Cells
Author: Eran Meshorer
Publisher: Springer Science & Business Media
Total Pages: 246
Release: 2011-01-11
Genre: Science
ISBN: 1441970371

Stem cells have been gaining a lot of attention in recent years. Their unique potential to self-renew and differentiate has turned them into an attractive model for the study of basic biological questions such as cell division, replication, transcription, cell fate decisions, and more. With embryonic stem (ES) cells that can generate each cell type in the mammalian body and adult stem cells that are able to give rise to the cells within a given lineage, basic questions at different developmental stages can be addressed. Importantly, both adult and embryonic stem cells provide an excellent tool for cell therapy, making stem cell research ever more pertinent to regenerative medicine. As the title The Cell Biology of Stem Cells suggests, our book deals with multiple aspects of stem cell biology, ranging from their basic molecular characteristics to the in vivo stem cell trafficking of adult stem cells and the adult stem-cell niche, and ends with a visit to regeneration and cell fate reprogramming. In the first chapter, “Early embryonic cell fate decisions in the mouse”, Amy Ralson and Yojiro Yamanaka describe the mechanisms that support early developmental decisions in the mouse pre-implantation embryo and the current understanding of the source of the most immature stem cell types, which includes ES cells, trophoblast stem (TS) cells and extraembryonic endoderm stem (XEN) cells.

Accomplishments, Collaborative Projects and Future Initiatives in Breast Cancer Genetic Predisposition

Accomplishments, Collaborative Projects and Future Initiatives in Breast Cancer Genetic Predisposition
Author: Paolo Peterlongo
Publisher: Frontiers Media SA
Total Pages: 141
Release: 2019-10-16
Genre:
ISBN: 288963132X

In this eBook, we described the accomplishments, collaborative projects and future initiatives in the field of breast cancer genetic predisposition. More specifically, the articles included focused on aspects such as mutation screening in unexplored populations, identification and characterization of novel predisposing genes and mutations, and population screening.

Recent Advances in Endometrial Cancer

Recent Advances in Endometrial Cancer
Author: Sumita Mehta
Publisher: Springer Nature
Total Pages: 306
Release: 2020-07-23
Genre: Medical
ISBN: 9811553173

This book discusses in detail the recent advances in the management of endometrial cancer, including the latest therapies and diagnostic methods. The book focuses on treatment-oriented topics such as the role of lymphadenectomy and sentinel node dissection, surgical complications, radiation techniques, and chemotherapy in endometrial cancer, and also explores treatment options in advanced disease stages, including hormonal therapy and targeted therapy. Providing insights into the evidence-based management guidelines for endometrial cancer, this book is a valuable resource for students, trainees and practitioners in the field of gynecology and gyne-oncology.

Precision Medicine in Oncology

Precision Medicine in Oncology
Author: Bulent Aydogan
Publisher: John Wiley & Sons
Total Pages: 288
Release: 2020-08-17
Genre: Medical
ISBN: 1119432456

A FRESH EXAMINATION OF PRECISION MEDICINE'S INCREASINGLY PROMINENT ROLE IN THE FIELD OF ONCOLOGY Precision medicine takes into account each patient's specific characteristics and requirements to arrive at treatment plans that are optimized towards the best possible outcome. As the field of oncology continues to advance, this tailored approach is becoming more and more prevalent, channelling data on genomics, proteomics, metabolomics and other areas into new and innovative methods of practice. Precision Medicine in Oncology draws together the essential research driving the field forward, providing oncology clinicians and trainees alike with an illuminating overview of the technology and thinking behind the breakthroughs currently being made. Topics covered include: Biologically-guided radiation therapy Informatics for precision medicine Molecular imaging Biomarkers for treatment assessment Big data Nanoplatforms Casting a spotlight on this emerging knowledge base and its impact upon the management of tumors, Precision Medicine in Oncology opens up new possibilities and ways of working – not only for oncologists, but also for molecular biologists, radiologists, medical geneticists, and others.