Integration of Genetic Technologies and Artificial Intelligence (AI): Core Achievements and Latest Advances in Medical Research, Agricultural Science, and Bioinformatics
genecodeai.com

Integration of Genetic Technologies and Artificial Intelligence (AI): Core Achievements and Latest Advances in Medical Research, Agricultural Science, and Bioinformatics

Integration of Genetic Technologies and Artificial Intelligence (AI): Core Achievements and Latest Advances in Medical Research, Agricultural Science, and Bioinformatics (2025 Update) I. Medical Research: From Precision Therapy to Life System Reengineering 1. Core Achievements AI-Driven Gene Editing…

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Neuroendocrine Neoplasms (NENs): A Comprehensive Overview
Neuroendocrine Neoplasms

Neuroendocrine Neoplasms (NENs): A Comprehensive Overview

Neuroendocrine Neoplasms (NENs): A Comprehensive Overview I. Definition and Classification Neuroendocrine neoplasms (NENs) are heterogeneous tumors arising from peptidergic neurons and neuroendocrine cells, characterized by neuroendocrine differentiation and hormone or bioactive peptide secretion. A…

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Applications and Innovations of Biosensors in Drug Screening
GenRNA.com

Applications and Innovations of Biosensors in Drug Screening

Applications and Innovations of Biosensors in Drug Screening Biosensors have revolutionized drug screening with their high sensitivity, real-time monitoring, and target-specific recognition. Below, we categorize key examples by technological principles and application scenarios, highlighting breakth…

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Core Challenges in Synthetic Biology Kinetics: A Deep Dive
synbiok.com

Core Challenges in Synthetic Biology Kinetics: A Deep Dive

Core Challenges in Synthetic Biology Kinetics: A Deep Dive I. Foundational Challenges in Model Construction Parameterization Challenges & Data Noise Kinetic models (e.g., ODEs, FBA) for synthetic biosystems rely heavily on experimental parameters such as enzymatic reaction rates (kcatkcat​) and …

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