Muutke küpsiste eelistusi

E-raamat: Biological Signal: How Electricity, Code, and Machines Are Rewriting Human Life

  • Formaat: EPUB+DRM
  • Ilmumisaeg: 18-Apr-2026
  • Kirjastus: Distributed via Draft2Digital
  • Keel: eng
  • ISBN-13: 9798235419445
  • Formaat - EPUB+DRM
  • Hind: 5,49 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
Biological Signal: How Electricity, Code, and Machines Are Rewriting Human Life
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 18-Apr-2026
  • Kirjastus: Distributed via Draft2Digital
  • Keel: eng
  • ISBN-13: 9798235419445

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

Most books about the future of biology fall into two extremes: abstract speculation or narrow technical detail. This book does neither. It examines the human body as a signal-driven system, where electrical activity, chemical pathways, and network coordination determine how life operates, adapts, and breaks down.Starting from the cellular level, the book builds a structured model of how signals move through the body—how they create thought, regulate energy, and maintain stability. It then shows how disease emerges not simply as damage, but as distortion in communication across systems. From there, it analyzes how modern interventions—especially drugs—modify these signals, often with broader consequences than intended.The second half of the book moves into digital biology. Continuous measurement, brain–computer interfaces, and predictive models are examined not as isolated technologies, but as extensions of the same signaling framework. The concept of digital twins is explored as a method of simulating biological systems before intervention, shifting medicine from reaction to prediction.The final sections address integration. As machines begin to interface directly with biological systems, questions of control, dependency, and system limits become unavoidable. The book defines where integration enhances function and where it introduces instability, grounding the discussion in system behavior rather than speculation.This is not a book about replacing biology. It is about understanding it as a coordinated system—and what happens when that system is measured, modeled, and modified in real time.