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Antimicrobial resistance with Artificial Intelligence

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Minh-Hoang Tran,1 Ngoc Quy Nguyen,2 Hong Tham Pham1,3 1Department of Pharmacy, Nhan Dan Gia Dinh Hospital, Ho Chi Minh City, Vietnam; 2Institute of Environmental Technology and Sustainable Development, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam; 3Department of Pharmacy, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam Correspondence: Hong Tham Pham, Department of Pharmacy, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam, Tel 84 919 559 085, Email [email protected] Abstract: Recent years have witnessed the rise of artificial intelligence (AI) in antimicrobial resistance (AMR) management, implying a positive signal in the fight against antibiotic-resistant microbes. The impact of AI starts with data collection and preparation for deploying AI-driven systems, which can lay the foundation for some effective infection control strategies. Primary applications of AI include identifying potential antimicrobial molecules, rapidly testing antimicrobial susceptibility, and optimizing antibiotic combinations. Aside from their outstanding effectiveness, these applications also express high potential in narrowing the burden gap of AMR among different settings around the world. Despite these benefits, the interpretability of AI-based systems or models remains vague.


Alchemab Therapeutics Ltd hiring Machine Learning Scientist in Babraham, England, United Kingdom

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The candidate will work within the technology team to develop, apply, and design novel machine learning (ML) algorithms with the ultimate aim of discovering therapeutic antibodies from next-generation sequencing (NGS) datasets. The candidate will be involved in multiple projects spanning our oncology, neuroscience, and infectious disease programmes. You will be responsible for the growth and development of our ML product roadmap. This will initially focus on exploiting methods in natural language processing for antibody discovery and patient stratification, and exploring the latest advances in ML (in areas such as self-supervised learning) to extend our capabilities. You will contribute new algorithms and strategies to increase accuracy, explainability, and/or automation of our technology platform.



Baidu Research: 10 Technology Trends in 2021 - KDnuggets

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While global economic and social uncertainties in 2020 caused significant stress, progress in intelligent technologies continued. The digital and intelligent transformation of all industries significantly accelerated, with AI technologies showing great potential in combatting COVID-19 and helping people resume work. Understanding future technology trends may never have been as important as it is today. Baidu Research is releasing our prediction of the 10 technology trends in 2021, hoping that these clear technology signposts will guide us to embrace the new opportunities and embark on new journeys in the age of intelligence. In 2020, COVID-19 drove the integration of AI and emerging technologies like 5G, big data, and IoT.


Why Artificial Intelligence is Critical in the Race to SDG Achievement

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Seven years have passed since world leaders met in New York and agreed on 17 Sustainable Development Goals (SDGs) to solve major challenges such as poverty, hunger, inequality, climate change and health. The pandemic has undoubtedly diverted attention from some of these issues in the last couple of years. But even before COVID-19, the UN was warning that progress in meeting the SDGs was not advancing at the speed or scale needed. Greeting them in 2030 will be difficult. The pandemic has demonstrated like nothing else the power of working collaboratively, across borders, for the benefit of society.


Five Rules for Fixing AI in Business

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Companies struggle to use AI to improve the way their businesses operate, a challenge that can be mitigated by following five rules. There are two faces to the machine-learning component of artificial intelligence algorithms. There are the gee-whiz competitions in which data grand masters, given fixed rules, design algorithms that set in motion a race to solve aspects of complex problems like HIV or traffic forecasting. Open-source libraries have been created to house the winning solutions, allowing parts of them to be used again in future contests. Because speed is crucial, automated data manipulation and pattern identification are frequently employed. The other face of machine learning involves the more real-world challenge of how to fix an obsolescent business process or address a business challenge using algorithms and programs.


Sr. Software Engineer

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We're on a mission to provide security teams with the intelligence they need to confront and stop advanced threats like supply chain attacks, zero day exploits, and ransomware attacks. Cyber attackers still have the advantage. Are you ready to help us reclaim the upper hand? Every day, banks, hospitals, government agencies, and entertainment companies rely on Extrahop's Reveal(x) a cloud-based machine learning cyber security platform to understand which users, devices and network activities they can trust. With this knowledge companies prevent fraud, data breaches, and can focus on building better user experiences, instead of worrying about security.


Using machine-learning to distinguish antibody targets

AIHub

The virus's spike proteins (purple) are a key antibody target, with some antibodies attaching to the top (darker purple) and others to the stem (paler zone). A new study shows that it is possible to use the genetic sequences of a person's antibodies to predict what pathogens those antibodies will target. "Our research is in a very early stage, but this proof-of-concept study shows that we can use machine learning to connect the sequence of an antibody to its function," said Nicholas Wu, a professor of biochemistry at the University of Illinois Urbana-Champaign who led the research with biochemistry PhD student Yiquan Wang; and Meng Yuan, a staff scientist at Scripps Research in La Jolla, California. With enough data, scientists should be able to predict not only the virus an antibody will attack, but which features on the pathogen the antibody binds to, Wu said. For example, an antibody may attach to different parts of the spike protein on the SARS-CoV-2 virus.


Machine Learning Artificial intelligence Market Size 2022-2028: Market Share, World Business Trends, Statistics, Definition, Prime Companies Report Covers, With Impact Of Covid-19 On Domestic and Global Market - Digital Journal

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Software Engineer - Machine Learning

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Two Six Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment at Two Six Technologies without regard to race, color, religion, national origin, sex, age, physical and mental disability, sexual orientation, gender identity or expression, genetic information, veteran, marital, pregnancy or citizenship status; or any other status prohibited by applicable national, federal, state or local law. Two Six Technologies Covid-19 Vaccination Policy requires employees to be fully vaccinated. Exceptions to this policy are only granted to those with a company-approved medical or religious accommodation. Prospective or new employees will be required to adhere to this policy and submit proof of vaccination or have an approved exemption prior to the start of their employment.