Mediaboss Marketing

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence-enabled Drug Discovery, 2022: Frost Radar Report" report has been added to ResearchAndMarkets.com's offering.

This report presents competitive profiles on each of the companies based on their strengths, opportunities, and a small discussion on their positioning.

The report finds that the impact of AI on the entire pharma value chain can more than double what is achievable using traditional analytics and capture between 2% and 3% of industry revenue, amounting to more than $50 billion in potential annual impact.

Pharmaceutical drug discovery and development has been suffering from declining success rates with new molecules primarily because of poor external validity of preclinical models and lack of efficacy of the molecule in terms of the intended disease indication.

Drug success rates continue to be in the range of only 1 in 10 that enters clinical phases pushing through to FDA approval. Frost & Sullivan finds that traditional solutions focused primarily on data from limited sources and rule-based computational techniques used to address the understanding of targets and leads are inefficient.

Artificial intelligence (AI) is set to transform the drug discovery landscape. AI-based products and solutions are transforming drug discovery and development dynamics by enabling pharmaceutical players to shorten discovery timelines, enhance process agility, increase prediction accuracy on efficacy and safety, and improve the opportunity to diversify drug pipelines using a cost-effective model.

Most pharmaceutical vendors are focused on collecting, creating, and augmenting data from across laboratories, clinical trials, real-world evidence, biobanks, and repositories. The increasing volume and veracity of clinical and research data is compelling traditional providers to leverage enabling tools and technologies such as cloud computing, AI and machine learning, natural language processing, and advanced analytics to make a shift to a relatively fast, rational data-driven drug discovery and development approach.

To remain competitive, companies must strike the right balance of data, AI, and computational capability and match it with the wet lab capability. There remains inadequate understanding of the biological networks and drug-target interactions. Enter AI, which has been able to support the identification and prioritization of disease-specific therapeutic targets based on gene-disease associations. Such results must be replicated and validated through in vitro experiments and in vivo models.

Key Topics Covered:

1. Strategic Imperative and Growth Environment

2. Frost Radar

3. Companies to Action

4. Strategic Insights

5. Next Steps

For more information about this report visit https://www.researchandmarkets.com/r/h6d2f7

Read the original:
Artificial Intelligence-enabled Drug Discovery Competitive Analysis Report 2022: A Benchmarking System to Spark Companies to Action - Innovation that...

Coral reefs are among Earths most stunning and biodiverse ecosystems. Yet, due to human-induced climate change resulting in warmer oceans, we are seeing growing numbers of these living habitats dying.

The urgency of the crisis facing coral reefs around the world was highlighted in a recent study that showed that 91% of Australias Great Barrier Reef had experienced coral bleaching in the summer of 202122 due to heat stress from rising water temperatures.

Determining reef health is key to gauging the extent of the problem and developing ways of intervening to save these ecosystems, and a new artificial intelligence (AI) tool has been developed to measure reef health using sound.

Research coming out of the UK is using AI to study the soundscape of Indonesian reefs to determine the health of the ecosystems. The results, published in Ecological Indicators, shows that the AI tool could learn the song of the reef and determine reef health with 92% accuracy.

The findings are being used to track the progress of reef restoration.

More on artificial intelligence: Are machine-learning tools the future of healthcare?

Coral reefs are facing multiple threats, including climate change, so monitoring their health and the success of conservation projects is vital, says lead author Ben Williams of the UKs University of Exeter.

Get an update of science stories delivered straight to your inbox.

One major difficulty is that visual and acoustic surveys of reefs usually rely on labour-intensive methods. Visual surveys are also limited by the fact that many reef creatures conceal themselves, or are active at night, while the complexity of reef sounds has made it difficult to identify reef health using individual recordings.

Our approach to that problem was to use machine learning to see whether a computer could learn the song of the reef. Our findings show that a computer can pick up patterns that are undetectable to the human ear. It can tell us faster, and more accurately, how the reef is doing.

Fish and other creatures make a variety of sounds in coral reefs. While the meaning of many of these calls remains a mystery, the new machine-learning algorithm can distinguish overall between healthy and unhealthy reefs.

Recordings used in the study were taken at theMars Coral Reef Restoration Project, which is restoring heavily damaged reefs in Indonesia.

The studys co-author Dr Tim Lamont, a marine biologist at Lancaster University, said the AI method provides advantages in monitoring coral reefs.

This is a really exciting development, says Lamont. Sound recorders and AI could be used around the world to monitor the health of reefs, and discover whether attempts to protect and restore them are working.

In many cases its easier and cheaper to deploy an underwater hydrophone on a reef and leave it there than to have expert divers visiting the reef repeatedly to survey it, especially in remote locations.

Theres never been a more important time to explain the facts, cherish evidence-based knowledge and to showcase the latest scientific, technological and engineering breakthroughs. Cosmos is published by The Royal Institution of Australia, a charity dedicated to connecting people with the world of science. Financial contributions, however big or small, help us provide access to trusted science information at a time when the world needs it most. Please support us by making a donation or purchasing a subscription today.

Read more:
Artificial intelligence tool learns song of the reef to determine ecosystem health - Cosmos

CARY A SAS executive has been named to the board of directors for EqualAI, a nonprofit that aims to reduce unconscious bias in how artificial intelligence is both developed and used.

Reggie Townsend, the director of the data ethics practice at SAS, officially joined the organizations board of directors. According to SAS, the company has also joined the organization as a corporate partner.

Im honored to join the board of EqualAI and work with the team on expanding AI accountability, inclusivity and equity, said Townsend, in a statement released by the nonprofit organization this week. AI comes with promise and peril. As AI proliferates and penetrates so many aspects of our lives, now is a critical time in our history to take action.

According to the statement, Townsend will serve on the board in a capacity that enables him to leverage and lend technical expertise, as well as share experiences and best practices from SAS.

SAS executive to serve as artificial intelligence advisor to Biden Administration

Townsend is already a member of the National Artificial Intelligence Advisory Committee and is one of the advisors to the administration of President Joe Biden, according to prior reporting from WRAL TechWire. He recently earned a credential from EqualAI that pertains to responsible governance of artificial intelligence, the company statement noted.

Reggies deep understanding with regard to mitigating harms through fair, sustainable applications of data, artificial intelligence and other technologies is a critical piece of delivering on our mission, said Miriam Vogel, president and CEO of EqualAI and Chair of the National Artificial Intelligence Advisory Committee (NAIAC), in a statement. I am also highly appreciative to have SAS take a position of leadership in their industry by becoming a member of EqualAI and committing to the innovative, responsible, and inclusive artificial intelligence.

The responsible use of artificial intelligence was one of the primary focal points of a SAS event earlier this quarter, as the company prepares to become what it calls IPO ready.

SAS moving toward IPO readiness, says global cloud revenue up 19%

Read more:
SAS exec tapped to join board of EqualAI to fight bias in artificial intelligence - WRAL TechWire

LONDON, May 31, 2022 (GLOBE NEWSWIRE) -- According to The Business Research Companys research report on the laser weapon systems market, growth in artificial intelligence is expected to drive the laser weapon systems market in the forecast period. The integration of artificial intelligence is gaining popularity among the laser weapon systems market trends. Artificial intelligence-powered systems are the battlefield's future. They can be deployed quickly and easily without being discovered, and they can wreak havoc with opposing fire. They are undetectable and quite effective. As previously reported by Financial Express Online, the military is expected to begin using artificial intelligence (AI) in the near future in order to become a totally network-centric force. It will take three to four years for the AI technology to be used in the Indian military. The Ministry of Defense has already established a Defense Artificial Intelligence Council with the defense minister as chairman and the three service chiefs, plus the defense secretary and the secretary of defense production, as members. The Defense Research and Development Organization (DRDO) has a specialized laboratory called the Centre for Artificial Intelligence and Robotics (CAIR), which employs about 150 scientists who work on AI Robotics, Control Systems, Command Control Communications and Intelligence (C3I), Networking, and Communications Secrecy. They've developed a robot family for surveillance and reconnaissance purposes. RoboSen is the name for a mobile robot for reconnaissance and surveillance systems. Moreover, the Indian Army during Army Day in 2021 demonstrated a Swarm Attack by drones on multiple targets.

Request for a sample of the global laser weapon systems market report

The global laser weapon systems market size is expected to grow from $4.81 billion in 2021 to $5.39 billion in 2022 at a compound annual growth rate (CAGR) of 11.9%. The growth in the market is mainly due to the companies resuming their operations and adapting to the new normal while recovering from the COVID-19 impact, which had earlier led to restrictive containment measures involving social distancing, remote working, and the closure of commercial activities that resulted in operational challenges. The laser weapon systems industry growth is expected to reach $8.53 billion in 2026 at a CAGR of 12.1%.

North America was the largest region in the laser weapon systems market and was worth $1.64 billion in 2021. The market accounted for 0.006% of the region's GDP. In terms of per capita consumption, the market accounted for $3.3, $2.7 higher than the global average. The growth of the Laser Weapon Systems market in the North American region can be attributed to the growing development of military drones, increased threats of aerial attacks, and increasing investment in military and defense. For instance, the military and defense budget of the USA for 2020 is USD 743.7 billion. Such a high budget will increase the demand to use more advanced products and weapons.

Major players in the laser weapon systems market are Applied Technology Associates, Boeing, Elbit Systems Ltd., General Atomics, BAE Systems, Lockheed Martin Corporation, MBDA, Northrop Grumman Corporation, Raytheon Technologies Corporation, Rheinmetall AG, Thales Group, Kratos, Leidos, Leonardo SpA, and Rafael Advanced Defense Systems.

The global laser weapon systems market is segmented by product into laser designator, LIDAR, 3D laser scanning, laser range finder, ring laser gyro, laser altimeter; by technology into solid state laser, chemical laser, free electron laser, chemical oxygen iodine laser, tactical high energy laser, others; by application into air-based, ground-based, sea-based.

The regions covered in the laser weapon systems market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa.

Laser Weapon Systems Global Market Report 2022 Market Size, Trends, And Global Forecast 2022-2026 is one of a series of new reports from The Business Research Company that provide laser weapon systems market overviews, laser weapon systems market analyze and forecast market size and growth for the whole market, laser weapon systems market segments and geographies, laser weapon systems market trends, laser weapon systems market drivers, laser weapon systems market restraints, laser weapon systems market leading competitors revenues, profiles and market shares in over 1,000 industry reports, covering over 2,500 market segments and 60 geographies.

The report also gives in-depth analysis of the impact of COVID-19 on the market. The reports draw on 150,000 datasets, extensive secondary research, and exclusive insights from interviews with industry leaders. A highly experienced and expert team of analysts and modelers provides market analysis and forecasts. The reports identify top countries and segments for opportunities and strategies based on market trends and leading competitors approaches.

Not the market you are looking for? Check out some similar market intelligence reports:

Artificial Intelligence Global Market Report 2022 By Offering (Hardware, Software, Services), By Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision, Others (Image Processing, Speech Recognition)), By End-User Industry (Healthcare, Automotive, Agriculture, Retail, Marketing, Telecommunication, Defense, Aerospace, Media & Entertainment) Market Size, Trends, And Global Forecast 2022-2026

Autonomous Military Weapons Global Market Report 2022 By Type (Autonomous, Semi-Autonomous), By Product (Missiles, Rockets, Guided Bombs, Target Pods), By Platform (Land, Airborne, Naval) Market Size, Trends, And Global Forecast 2022-2026

Defense Support And Auxiliary Equipment Global Market Report 2022 By Type (Military Radars, Military Satellites, Other Defense Support And Auxiliary Equipment), By Payload Type (Communication Payload, Navigation Payload, Imaging Payload), By Application (Intelligence, Surveillance, And Reconnaissance (Isr), Communication, Navigation) Market Size, Trends, And Global Forecast 2022-2026

Interested to know more about The Business Research Company?

The Business Research Company is a market intelligence firm that excels in company, market, and consumer research. Located globally it has specialist consultants in a wide range of industries including manufacturing, healthcare, financial services, chemicals, and technology.

The Worlds Most Comprehensive Database

The Business Research Companys flagship product, Global Market Model, is a market intelligence platform covering various macroeconomic indicators and metrics across 60 geographies and 27 industries. The Global Market Model covers multi-layered datasets which help its users assess supply-demand gaps.

The rest is here:
Growth In Artificial Intelligence Is Expected To Drive The Laser Weapon Systems Market At A Rate Of 12% As Per The Business Research Company's Laser...

The book Artificial Intelligence Based Cancer Nanomedicine: Diagnostics, Therapeutics and Bioethics gives a comprehensive explanation of the role of machine learning and artificial intelligence in cancer nanomedicine. It presents 10 chapters that cover multiple dimensions of the subject. These dimensions are:

- The need of AI and ML in designing new cancer drugs

- Application of AI in cancer drug design

- AI-based drug delivery models for cancer drugs

- Diagnostic applications of AI

- Intelligent nanosensors for biomarker profiling

- Predictive models for metastatic cancer

- Cancer nanotheranostics

- Ethics of AI in medicine

The book serves as a reference for scholars learning about cancer diagnostics and therapeutics. Biomedical engineers who are involved in healthcare projects will also find the concepts and techniques highlighted in the book informative for understanding modern computer-based approaches used to solve clinical problems.

To overcome this challenge application of artificial intelligence (AI) along with nanomedicine can serve as a helping tool for optimizing the drug and dose parameters. Conversion between these two fields enables up gradation of patient data acquisition, improved design of nanomaterials. In cancer the high intratumor and interpatient heterogeneity behavior is quite difficult to plan for a rational therapeutic design and further to analyse their output is extremely difficult. In this scenario application and integration of AI based approaches such as pattern analysis and algorithms models can bridge the gap, for improved accuracy of diagnostics and therapeutics. With the help of AI algorithms large datasets can be processed, complex patterns can be exploited for improvement of nanotechnology based design for cancer diagnostics and treatments. Application of precision cancer nanomedicine is highly essential as every patient is unique. Patient groups have varied differences, such as age, gender, height, eye color, blood type as well as unique molecular signatures, which leads to different phenotypic changes and wide-ranging of drug responses amongst patients. Further, patients vary substantially with regard to the dosages needed to attain drug synergy, and desirable degree of drug exposure to reach optimal treatment outcomes. Optimization of dosing in oncology highly essential, often dose reductions are implemented to manage treatment-related toxicity and it faces key challenges while translating it to a clinical practice for dosing establishment. This type of challenges can be addresses via recent advances in AI.

In this regard, AI plays a critical role in reconciling this space into an actionable treatment response.

In the era of computer aided technology, almost all field are involved with information technology. AI is the amalgamation of computer ethics and bioethics. During application all aspects of research technology pertaining to the their field needs to be ethics free so that they can be freely used for human welfare. These AI enabled novel technologies based therapy needs to be followed at all levels the ethical principles like human privacy, dignity, justice, morality and fair access to the knowledge for possible beneficial of therapy. The book entitled Artificial Intelligence Based Cancer Nanomedicine: Diagnostics, Therapeutics and Bioethics. by Dr. Fahima Dilnawaz and Dr. Ajit Kumar Behura exemplifies various modes of the application of AI towards cancer nanomedicine and its related aspects of bioethics. This book indeed is a modest effort to the several approaches of cancer nanomedicine having a broad readership that includes researchers, scholars, academicians, clinicians and their allied partners. The authors have made intensive efforts by inviting various reputed contributors to contribute their views.

About the Editors:

Dr. Fahima Dilnawaz is a Women Scientist at the Department of Science and Technology, in the laboratory of nanomedicine of the Institute of Life Sciences, Bhubaneswor, Odisha, India. She received a doctorate in botany from the Mal University, on M.Phil from Berhampur University, on ITC fellowship from the Hungarian Academy of Sciences, and o post-doctoral fellowship horn the Department of Biotechnology. Being a dynamic researcher, she hos on h.index of 17, her more than 30 scientific papers, review articles, 17 book chapter in reputed journals os well as publishing house have fetched citations of around 2413. Her expertise hos been much admired for which she was invited to deliver sessions in various scientific gatherings in India as well as abroad. She has co-authored the book "Remedial Biology' and co-edited book Nanomedicine Approaches towards Cardiovascular Disease'. To her credit, she has coauthored two patents, which hove acclaimed approval from the USA, Europe, Australian and another one from Indio. The patented technology was commercialized for "magnetic cell separation kit (Quicksort TM)'. She is serving as a reviewer for various Nano medicinal journals, as well as on associated editorial board member.

The author, Dr. Ajit Kumar Behura, is a senior faculty working in the Department of Humanities and Social Sciences, Indian Institute of Technology, Dhanbad-826004. He has earned his doctorate in philosophy from the Central University of Hyderabad. His main areas of teaching and research interests are applied ethics, environmental ethics, and ethics in scientific and technological research, engineering ethics, sustainable development and Indian philosophy. Under his guidance, 9 Ph.D. students were supervised in different areas of ethics and philosophy. He has 39 research publications in index journals. There are a number of training programs, consultancy and projects to his credit. He is a life member of several professional bodies.

Keywords:

Artificial intelligence, Nanomedicine, Nanotechnology, Target site, Cancer nanomedicine, Deep learning, Drug discovery, Machine learning, Robotics.

Please visit for more information: https://bit.ly/3zcQ6mN

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

Originally posted here:
Artificial Intelligence Centered Cancer Nanomedicine: Diagnostics, Therapeutics and Bioethics - EurekAlert