Anamnese und Krankengeschichte 09

An Introduction to Clinical Trials

Autor: Jonathan A. Cook

Nursing Narrative Note Examples to Save Your License: Charting and Documentation Suggestions for RNs & LPNs Who Have to Describe the Indescribable in a Medical Record

Autor: Lena Empyema

ICD-10-GM 2022 Alphabetisches Verzeichnis: Internationale statistische Klassifikation der Krankheiten und verwandter Gesundheitsprobleme, 10. Revision - German Modification

Bearbeitung: Thomas Auhuber

notebook with alphabet tabs: Alphabetical Notebook with Tabs, Lined-Journal Organizer, Alphabet A-Z Index, Gift for Friends, Men & Women and coworkers, 6x9 in, 160 Pages.

Autor: wxc nbv

Von „Tropenmedizin“ zu „Global Public Health“: Die politische Dimension ärztlichen Handelns: biographische und bibliographische Anmerkungen 1962 bis 2022 (Challenges in Public Health, Band 67)

Autor: Hans Jochen Diesfeld

Medical Statistics Made Easy

Autoren: Michael Harris, Gordon Taylor

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications (Biomedical and Robotics Healthcare)

Herausgeber: Om Prakash Jena, Bharat Bhushan, Utku Kose

NIVEN'S VETERINARY HOMOEOPATHY VOL TWO: THEORY AND CLINICAL APPLICATION

Autor: DR ALEX NIVEN

Unnützes Wissen für Teenager: Kuriose, interessante und witzige Fakten, die sie vergaßen, mir beizubringen, ich aber trotzdem kennen sollte!

Autor: Fiete Hansen

The Creative Destruction of Medicine: How the Digital Revolution Will Create Better Health Care

Eric Topol

Until very recently, if you were to ask most doctors, they would tell you there were only two kinds of medicine: the quack kind, and the evidence-based kind. The former is baseless, and the latter based on the best information human effort could buy, with carefully controlled double-blind trials, hundreds of patients, and clear indicators of success. Well, Eric Topol isn't most doctors, and he suggests you entertain the notion of a third kind of medicine, one that will make the evidence-based state-of-the-art stuff look scarcely better than an alchemist trying to animate a homunculus in a jar.

It turns out that plenty of new medicines - although tested with what seem like large trials - actually end up revealing most of their problems only once they get out in the real world, with millions of people with all kinds of conditions mixing them with everything in the pharmacopeia. The unexpected interactions of drugs, patients, and diseases can be devastating. And the clear indicators of success often turn out to be minimal, often as small as one fewer person dying out of a hundred (or even a thousand), and often at exorbitant cost.

How can we avoid these dangerous interactions and side-effects? How can we predict which person out of a hundred will be helped by a new drug, and which fatally harmed? And how can we avoid having to need costly drugs in the first place? It sure isn't by doing another 400-person trial.

As Topol argues in The Creative Destruction of Medicine, it's by bringing the era of big data to the clinic, laboratory, and hospital, with wearable sensors, smartphone apps, and whole-genome scans providing the raw materials for a revolution. Combining all the data those tools can provide will give us a complete and continuously updated picture of every patient, changing everything from the treatment of disease, to the prolonging of health, to the development of new treatments. As revolutionary as the past 20 years in personal technology and medicine have been - remember phones the sizes of bricks that only made calls, or when the most advanced "genotyping" we could do involved discerning blood types and Rh-factors? - Topol makes it clear that we haven't seen a thing yet. With an optimism matched only by a realism gained through 25 years in a tough job, Topol proves the ideal guide to the medicine of the future - medicine he himself is deeply involved in creating.

Herbs and Healers from the Ancient Mediterranean through the Medieval West: Essays in Honor of John M. Riddle (Medicine in the Medieval Mediterranean)

Sw. Jozef Moscati

Beatrice Immediata

Paul Zoll MD; The Pioneer Whose Discoveries Prevent Sudden Death

Stafford I. Cohen

Über die Arbeit mit Genogrammen: Auswertung von ExpertInneninterviews zur Genogrammerstellung (Verlag für systemische Forschung)

Dirk Rohr

Statistical Modelling of Molecular Descriptors in QSAR/QSPR (Quantitative and Network Biology, Band 2)

CPT 2017: Professional Edition (Cpt / Current Procedural Terminology (Professional Edition))

Jay T. Ahlman, Thilani Attale, Andrei Besleaga, Angela J. Boudreau, Judy Connelly

Sekundärnutzung klinischer Daten - Rechtliche Rahmenbedingungen: mit einem Beitrag von Alexander Roßnagel und Gerrit Hornung (Schriftenreihe der TMF - ... die vernetzte medizinische Forschung e.V.)

Uwe K. Schneider

Beginners Guide to Bioinformatics for High Throughput Sequencing (Bioinformatics Biocomputing Co)

Eric Lee, T W Tan

Lexicography and Physicke: The Record of Sixteenth-Century English Medical Terminology (Oxford Studies in Lexicography and Lexicology)

R. W. McConchie

Leveraging Artificial Intelligence in Healthcare and Medicine (English Edition)

Autor: Dr Ammar Naqvi
Herausgeber: Iffat Rubab