A new study reveals that about one in 12 patients who are diagnosed with two or more different types of cancer were born with a mutation in a known cancer risk gene. This discovery could reshape how ...
This study is led by Professors Huihui Li (Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China), Liang Li (Institute of Crop Sciences, Chinese Academy of Agricultural ...
An illustration of E. coli. Scientists have been racing to shrink the genetic code of this bacterium. Kateryna Kon / Science Photo Library via Getty Images The DNA of nearly all life on Earth is made ...
This repository contains the MATLAB source code and associated data files to support the findings of the paper: [To be included upon publication]. The code facilitates the simulation, analysis, and ...
A new AI coding challenge has revealed its first winner — and set a new bar for AI-powered software engineers. On Wednesday at 5 p.m. PT, the nonprofit Laude Institute announced the first winner of ...
MINNEAPOLIS--(BUSINESS WIRE)--Objective Biotechnology, a pioneer in next-generation research tools, today announced the commercial launch of the Autoinjector, the first fully automated robotic system ...
Trend Micro has released security updates to address multiple critical-severity remote code execution and authentication bypass vulnerabilities that impact its Apex Central and Endpoint Encryption ...
SEATTLE, May 20 (Reuters) - Microsoft (MSFT.O), opens new tab said it will add an artificial intelligence coding agent from Google-backed startup Anthropic to its GitHub service. Coding agents can ...
OpenAI’s most advanced AI coding agent, Codex, will bring parallel task automation to developers—but analysts caution that speed without scrutiny invites “silent failures.” OpenAI has announced the ...
Abstract: The integrated circuit for 3D chip placement has attracted much attention in recent years, but its complex netlist structure poses significant challenges in optimizing 3D chip placement.
Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.
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