#Artificial Intelligence and Genomics

[scichores]

Fascinating Role of Genomics in Drug Discovery and Development

This article dives deep into the significance of genomics in drug discovery and development, highlighting well-known genomic-based drug development services that are driving the future of pharmaceutical therapies. #genomics #drugdiscovery

A scientist using a whole genome DNA sequencer, in order to determine the “DNA fingerprint” of a specific bacterium. Original image sourced from US Government department: Public Health Image Library, Centers for Disease Control and Prevention. Under US law this image is copyright free, please credit the government department whenever you can”. by Centers for Disease Control and Prevention is…

[thoratketan]

Global Artificial Intelligence in Genomics Market: Analysis Of Market Segmentation And Trends

The Artificial Intelligence (AI) In Genomics Market is undergoing a transformative phase, with the latest data indicating significant growth in the industry. Valued at USD 699.7 million in 2023, the market is projected to reach an astounding USD 19,018.4 million by 2032, growing at a remarkable Compound Annual Growth Rate (CAGR) of 44.3% from 2024 to 2032. This surge in market value highlights the increasing impact of AI technology on genomic research, personalized medicine, and healthcare innovations globally.

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Key Drivers of AI in Genomics Market Growth

The expansion of the AI in genomics market is being driven by several pivotal factors. Foremost among them is the growing adoption of AI and machine learning (ML) algorithms in genomic research and clinical settings. These technologies are revolutionizing the way genetic data is analyzed, enabling researchers and healthcare providers to derive insights that were previously unattainable through traditional methods. AI-powered solutions allow for rapid analysis of vast genomic datasets, identifying patterns and correlations that can lead to ground breaking discoveries in precision medicine, disease prevention, and treatment.

Additionally, the exponential increase in the volume of genomic data generated by advanced sequencing technologies is another key factor fueling the demand for AI-driven solutions. As next-generation sequencing (NGS) becomes more widely available, the need for AI tools to process and interpret these massive datasets has never been greater. AI algorithms are capable of rapidly sifting through this data to identify genetic mutations, biomarkers, and other critical factors that influence disease development, drug response, and treatment outcomes.

Furthermore, the rise of personalized medicine, which tailors medical treatment to individual genetic profiles, is driving the demand for AI-powered genomics solutions. AI tools are enabling healthcare professionals to make more informed decisions based on an individual’s genetic makeup, leading to more effective and targeted treatments. This shift toward personalized care is expected to significantly expand the scope of AI applications in genomics, thus further propelling the market’s growth.

AI’s Role in Genomic Research and Medicine

Artificial Intelligence is proving to be a game-changer in various aspects of genomics, including drug discovery, genetic disease diagnosis, and clinical decision-making. AI algorithms can rapidly analyze and interpret vast amounts of genomic data, providing researchers with valuable insights into the genetic causes of diseases and potential therapeutic targets. This capability is particularly crucial in the field of cancer genomics, where AI can identify genetic mutations linked to various types of cancer and help in the development of precision oncology treatments.

In addition, AI is enhancing the speed and accuracy of genetic disease diagnosis. AI-based systems can quickly analyze genomic sequences to detect mutations or variations that may be associated with inherited diseases, reducing the time and cost of traditional diagnostic methods. For instance, AI-powered platforms are being used to identify rare genetic disorders, offering hope to patients who may otherwise face delays in obtaining a diagnosis.

The integration of AI with genomic data also holds significant promise for advancing clinical decision-making. By analyzing patients' genetic profiles, AI tools can assist doctors in choosing the most effective treatment plans, taking into account individual genetic variations and responses to specific drugs. This personalized approach is helping to improve patient outcomes and reduce the likelihood of adverse drug reactions.

Key Segmentation

By Component

Hardware

Software

Services

By Technology

Machine Learning

Deep Learning

Supervised Learning

Unsupervised Learning

Others

Computer Vision

By Functionality

Genome Sequencing

Gene Editing

Others

By Application

Drug Discovery & Development

Precision Medicine

Diagnostics

Others

By End-use

Pharmaceutical and Biotech Companies

Healthcare Providers

Research Centers

Others

.

KEY PLAYERS

AI Platforms and Software

IBM

Microsoft Corporation

NVIDIA Corporation

Genomic Data Analysis and Interpretation

Deep Genomics

Data4Cure, Inc.

Freenome Holdings, Inc.

Genomic Sequencing and Tools

Thermo Fisher Scientific

Illumina, Inc.

Genomic Data Integration and Interpretation

SOPHiA GENETICS

BenevolentAI

Fabric Genomics

Make Enquiry about Artificial Intelligence in Genomics Market

 Conclusion

The Artificial Intelligence in Genomics market is poised for exceptional growth in the coming years, fueled by technological advancements, increased genomic data generation, and the rise of personalized medicine. With a projected market size of USD 19,018.4 million by 2032, the potential for AI to revolutionize genomics research and healthcare is immense. As AI continues to unlock new possibilities in genomics, it will play an integral role in shaping the future of precision medicine, transforming the healthcare landscape, and improving the quality of life for millions of people worldwide.

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[likitakans]

AI and Health: New Technologies Paving the Way for Better Treatment

Artificial intelligence (AI) is expanding rapidly in the health sector, and it is revolutionizing our medical system. With the help of AI, new technologies are being developed that are not only helpful in accurately diagnosing diseases but are also playing an important role in personalized treatment and management.

Quick and accurate diagnosis of diseases AI-based tools can now analyze medical imaging data such as X-rays, CT scans, and MRIs quickly and accurately. This helps doctors to quickly detect complex conditions such as cancer, heart diseases, and neurological problems.

Personalized medicine AI can help create personalized treatment plans for every individual by analyzing genomics and biometrics. This technology ensures that the patient gets the right medicine and the right dose at the right time.

Improved health management AI-based health apps and wearables such as smart watches are now helping people monitor their health condition. These devices regularly track health indicators such as heart rate, blood pressure and sleep quality.

Accelerating medical research The role of AI has become extremely important in the development of new drugs and vaccines. Using AI, scientists can analyze complex data sets and make new medical discoveries faster.

Accessible and affordable healthcare AI technology is helping in delivering affordable and effective healthcare, even in rural and remote areas. Telemedicine and virtual health assistants are bridging the gap between patients and doctors.

Conclusion Artificial intelligence is playing an important role in making healthcare more effective, accurate, and accessible. However, there are challenges such as data security and ethics in the use of AI technology which need to be dealt with. In the coming years, with more advanced and innovative uses of AI, the healthcare landscape may change completely.

[nando161mando]

"Race science group say they accessed sensitive UK health data" https://theguardian.com/world/2024/oct/17/race-science-group-say-they-accessed-sensitive-uk-health-data

In 'Resisting AI' I specifically warned about UK Biobank, genome-wide association studies and the emergence of AI-driven eugenics.

[techtoio]

How Artificial Intelligence is Transforming Scientific Research

Introduction No one ever imagined how artificial intelligence would revolutionize scientific research. At TechtoIO, we look into how AI is not just a tool but the driver behind the rapid advancements in many scientific disciplines. That includes how science is being transformed—from better data analysis to catalyzing discovery, such as areas in health, climate science, physics, particle experimentation, and more. Read to continue link...

[airises]

"Revolutionizing Biotech: How AI is Transforming the Industry"

The biotech industry is on the cusp of a revolution, and Artificial Intelligence (AI) is leading the charge. AI is transforming the way biotech researchers and developers work, enabling them to make groundbreaking discoveries and develop innovative solutions at an unprecedented pace. “Accelerating Scientific Discovery with AI” AI is augmenting human capabilities in biotech research, enabling…

[iruchakalyan]

Artificial Intelligence in Genomics Market : Growth and Analysis ,Forecast 2024 to 2033 by Component, Type, Technology, Application and End User

The Artificial Intelligence in Genomics Market was valued at USD 0.6 Billion in 2023 and is estimated to reach USD 12.48 Billion by 2033, growing at a CAGR of 40.6 % from 2024 to 2033.  

Scope of the market:

A biology field that studies the function, structure, and evolution of genomes which is the set of genetic information present in the DNA of an organism. In recent years artificial intelligence (AI) has made a significant contribution to this market. AI techniques such as machine learning and deep learning are applied to genomic data to make predictions for an individual's health, develop personalized treatments, and identify potential diseases that cause mutation.

The ability to extract valuable data from genomic data has propelled genomic research and has contributed to Artificial Intelligence in Genomics Market. Researchers have made the artificial Intelligence tool to forecast how genome editing repaid choices will be conducted and minimize mistakes in treating genetic illness. This technology accelerates the development of genetic treatment improves accuracy, and facilitates personalized medicines.

Key Players:

Deep Genomics

Data4cure Inc.

BenevolentAI Limited

Congenica Ltd

Predictive Oncology Inc

SOPHIA GENETICS SA

Microsoft Corporation

NVIDIA Corporation

Fabric Genomics

Thermo Fisher Scientific Inc

Bluebee

ZS Genetics

Envisagenics

Shivom & Bluegnome

Nebula Genomics

Others

Recent Developments in Artificial Intelligence in Genomics Market.

In 2023: Genomics AI firm Genomenon acquires Boston Genetics.

The human Genome by combining its AI- enabled genomic platform and expertise with insights from genetics team of Boston. This partnership will enable great support to its clinical diagnostics and pharmaceutical clients making them understand the genomic drivers of genetic disease and oncology. This acquisition adds more than 75 trained genetics scientists, doubling the size.

Artificial Intelligence in Genomics Market: Key Benefits:

The report provides information regarding key drivers, restraints, and opportunities with impact analysis.

Quantitative and Qualitative analysis of the current market.

Estimations for the forecast period 2033.

Historical data and forecast data.

Recent developments and trends in the market.   

Market share of the market players, company profiles, SWOT analysis, and competitive landscape.

Covid-19 Impact analysis

Know More: https://nexbindinsight.com/spharmaceutical-and-healthcare/artificial-intelligence-in-genomics-market

[sathiyario05-blog]

What is mean Cybersecurity??How its used for IT industries.

  One of the biggest and economically high value compare to other industries is Information Technology industries. Mostly service Based IT industries running in India.IT industries used Cybersecurity for protection. What is mean by Cybersecurity?? Cybersecurity is the Practice of Protecting systems,networks and Programs from digital attacks. Main role of Cybersecurity Protecting an…

[sanskruti01]

In the realm of #genomics, a profound transformation has been brought about by the seamless integration of Artificial Intelligence (AI) technologies. This synergy marries the potency of cutting-edge algorithms and the finesse of machine learning techniques with extensive genomic data. The result?

→ A gateway to fresh revelations within the human genome and a catalyst for progress in the realm of personalized medicine. The past few years have borne witness to a remarkable surge in the utilization of AI within the genomics domain. Its applications span a broad spectrum, encompassing research endeavors, clinical diagnostics, drug discovery, and the frontiers of precision medicine.

@TowardsHealthcare

[innonurse]

Promoting equity in newborn genomic sequencing: Introducing BabySeq 2.0.

- By InnoNurse Staff -

At present, approximately 900 conditions attributed to a single gene can be effectively treated. However, the conventional "heel stick" testing for newborns encompasses just around 60 treatable hereditary disorders, and several states conduct screenings for even fewer conditions.

What if, instead, newborns could undergo comprehensive genome sequencing right at birth, with the outcomes shared and acted upon as deemed necessary?

Read more at Boston Children’s Hospital

///

Other recent news and insights

An Israeli biotech startup, Mana.bio, has unveiled an AI-driven programmable medication therapy (TechCrunch)

This advanced two-handed neurosurgical robot delves deep into the brain (Boston Children’s Hospital)

[mitalipingale]

The Artificial Intelligence in Genomics Market in genomics in 2023 is US$ 0.71 billion, and is expected to reach US$ 14.91 billion by 2031 at a CAGR of 46.2%.

[scientificinquirer-blog]

DAILY DOSE: AI System Vulnerabilities Exposed in Go Study; Human Genome Project Ethics Questioned Over DNA Use.

AI GO SYSTEM FLAWS EXPOSED, VULNERABILITY STUDY FINDS Research on a leading AI system for the game Go, which can outperform top human players, has uncovered significant vulnerabilities. These findings from a recent study, which has yet to undergo peer review, raise concerns about the fragility and reliability of advanced AI systems, challenging their “superhuman” status. Researchers used…

[futuretonext]

The Global Artificial Intelligence in Genomics Market is poised to grow at a CAGR of around 53% during the forecast period, i.e., 2023-28. The growth of the market is projected to be propelled mainly by the rapidly growing genomic data volume, ever-increasing adoption of precision medicine, significant advancements in AI Technologies, and the integration of multi-omics data, which includes genomic, transcriptomic, proteomic, & epigenomic data. Besides, the mounting demand for efficient drug discovery & development, various partnerships between academic institutes, bio-pharma companies, and technology firms, and the growing supportive regulatory environment are other prominent aspects projected enhance the Global Artificial Intelligence in Genomics Market size in the future.

[reasonsforhope]

"An international research team has found almost a million potential sources of antibiotics in the natural world.

Research published in the journal Cell by a team including Queensland University of Technology (QUT) computational biologist Associate Professor Luis Pedro Coelho has used machine learning to identify 863,498 promising antimicrobial peptides -- small molecules that can kill or inhibit the growth of infectious microbes.

The findings of the study come with a renewed global focus on combatting antimicrobial resistance (AMR) as humanity contends with the growing number of superbugs resistant to current drugs.

"There is an urgent need for new methods for antibiotic discovery," Professor Coelho, a researcher at the QUT Centre for Microbiome Research, said. The centre studies the structure and function of microbial communities from around the globe.

"It is one of the top public health threats, killing 1.27 million people each year." ...

"Using artificial intelligence to understand and harness the power of the global microbiome will hopefully drive innovative research for better public health outcomes," he said.

The team verified the machine predictions by testing 100 laboratory-made peptides against clinically significant pathogens. They found 79 disrupted bacterial membranes and 63 specifically targeted antibiotic-resistant bacteria such as Staphylococcus aureus and Escherichia coli.

"Moreover, some peptides helped to eliminate infections in mice; two in particular reduced bacteria by up to four orders of magnitude," Professor Coelho said.

In a preclinical model, tested on infected mice, treatment with these peptides produced results similar to the effects of polymyxin B -- a commercially available antibiotic which is used to treat meningitis, pneumonia, sepsis and urinary tract infections.

More than 60,000 metagenomes (a collection of genomes within a specific environment), which together contained the genetic makeup of over one million organisms, were analysed to get these results. They came from sources across the globe including marine and soil environments, and human and animal guts.

The resulting AMPSphere -- a comprehensive database comprising these novel peptides -- has been published as a publicly available, open-access resource for new antibiotic discovery.

[Note: !!! Love it. Open access research databases my beloved.]"

-via Science Daily, June 5, 2024