AI Medical Compendium Journal:
Trends in biotechnology

Showing 21 to 25 of 25 articles

Deep Learning with Microfluidics for Biotechnology.

Trends in biotechnology
Advances in high-throughput and multiplexed microfluidics have rewarded biotechnology researchers with vast amounts of data but not necessarily the ability to analyze complex data effectively. Over the past few years, deep artificial neural networks ...

Microbiome Tools for Forensic Science.

Trends in biotechnology
Microbes are present at every crime scene and have been used as physical evidence for over a century. Advances in DNA sequencing and computational approaches have led to recent breakthroughs in the use of microbiome approaches for forensic science, p...

The Best Model of a Cat Is Several Cats.

Trends in biotechnology
Modern biotechnology is emerging at the intersection of engineering, biology, physics, and computer science. As such it carries with it history from several disparate fields of research including a strong tradition in deductive reasoning primarily de...

Autonomous surveillance for biosecurity.

Trends in biotechnology
The global movement of people and goods has increased the risk of biosecurity threats and their potential to incur large economic, social, and environmental costs. Conventional manual biosecurity surveillance methods are limited by their scalability ...

Artificial intelligence in biomaterials: a call for unified biocompatibility standards.

Trends in biotechnology
A standardized definition of biocompatibility is essential for advancing biomaterials research. This letter emphasizes the need for clear guidelines and interdisciplinary frameworks in assessing biocompatibility, with artificial intelligence (AI) pla...