Reply: Is there any genetic instability in human cancer?

Jason Yongsheng Chan

Yuri Ozhigov

This is the reply to the paper of Andrei Khrennikov arXiv:1505.04293 in which he expresses dissatisfaction with that the rough data in quantum experiments is not easily available and compares it with the open rough data in genetics. I try to explain why quantum experiments rough data is closed and why it differs radically from the biological. I also tried to answer the more thorny issue: is it possible to check quantum mechanics independently of other humans, e.g. trusting nobody.

Willis Grant Cooper

S Rajasree, L Ashwin, Nitish RG +1 more

Our project aims to confront the persistent challenge of developing effective cancer treatments, especially in light of drug resistance. n the quest for improved therapeutic outcomes, clinicians often resort to combining drugs, yet the task of selecting the optimal mix remains daunting. Herein lies our innovative proposal - Quantum Neural Networks (QNNs). By harnessing the computational prowess inherent in QNNs, we aim to unravel the intricate complexities of genetic data, thereby pinpointing elusive yet promising drug interactions that traditional methodologies may overlook.Through this ambitious endeavor, our aim is to expedite the drug discovery process and to tailor treatments to the unique genetic profiles of individual patients. In forging this path, our project not only promises hope in the ongoing battle against cancer but also represents a monumental leap forward in the realm of personalized medicine Keywords: Cancer treatments, drug resistance, therapeutic outcomes, drug combination, optimal mix, Quantum Neural Networks (QNNs), computational prowess, genetic data, drug interactions, traditional methodologies, drug discovery process, personalized medicine, genetic profiles, individual patients, cancer battle, innovation in medicine Keywords: Cancer , Quantum Neural Networks , Drug Synergy , Sensitivity , Specificity , Synergy Score

Morris Laster, Imad Matouk, Yakov Fellig +1 more

To date, classical deterministic Newtonian physics has been used by biologists to describe living processes. However, it is increasingly appreciated that the probabilistic view offered by quantum mechanics more accurately describes the behavior of atoms and materials in all systems. Here, we discuss how the concepts of quantum mechanics can be applied to biological processes involved in cancer. We present a concise summary inspired by Heisenberg's Uncertainty Principle to describe our «Genetic Environmental Field Hypothesis». Combining the uncertainties of genetic changes as expressed by epigenetic changes and/or somatic mutations with the uncertainties of environmental changes, cells may become cancerous as a way to increase entropy. Throughout the paper we will utilize the H19 gene system as an example. Using the concepts of quantum mechanics to describe oncological processes may provide novel directions in our understanding of cancer.

Robert Rosén