The healthcare business, like many others, has learned vital lessons from the crisis. The healthcare sector is built on technology. Hospitals formerly plagued by various legacy systems were able to simplify and standardize their healthcare systems because of digitalization in the healthcare business. Healthcare organizations and millennial patients can save money and enhance the quality of healthcare by doing so, all while utilizing cutting-edge technology. Conventional analytics and clinical decision-making methodologies have considerable disadvantages when compared to AI & machine learning. On the other hand, the use of artificial intelligence and machine learning in healthcare has a lot of benefits and is simple to achieve by healthcare businesses.
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The 2024 HIMSS European Health Conference in Rome (May 29-31) focuses on climate change and AI in healthcare, promoting resilient and equitable health systems. Thousands of leaders will exchange ideas, featuring projects like HIMSS Pitch Fest and European Health Data Space, with WHO-Europe involvement. President Hal Wolf anticipates Rome's unique hosting opportunities.
2nd International Summit on Public Health and Preventive Medicine (ISPHPM2024), a premier event focusing on the latest developments in the field of public health and preventive medicine which is going to be held in Prague, Czech Republic during May 27-29, 2024.
ISPHPM2024 brings together experts from around the world to discuss the most pressing issues related to public health and preventive medicine, including infectious disease control, access to healthcare, nutrition and diet, chronic disease prevention, environmental health, and more. The focus of this summit is to provide a platform for discussing the challenges faced by public health systems across the world and to come up with innovative solutions that can be implemented in order to improve public health. This event will provide a valuable opportunity for the attendees to learn from each other’s work, exchange ideas, create networks and build collaborations.
Encouraged by the success of previous editions, Magnus Group is pleased to announce its “6th Edition of International Conference on Materials Science and Engineering” (MATERIALS 2024) which is held during March 18-20, 2024 which is scheduled in Hybrid Format at Singapore.
The congress strives to provide a unique theme, “Shaping Future by Combining Knowledge and Innovations in Material Science.”
This scientific gathering aims to provide terrific opportunities for academicians, researchers, scientists, engineers, and industry representatives to network and share their knowledge, insightful suggestions, and cutting-edge research in the field of Materials Science and Engineering. Furthermore, this summit will provide a global podium platform discussing practical concerns, challenges, and solutions. As we go into Industry 4.0, material science and engineering research is undergoing a transformation. Materials engineers create new materials for applications, which has led to the development of everything from computer chips to healthcare devices to composites. More knowledge and research in nanotechnology, automation, and medical discoveries are required as part of Industry 4.0.
Dataman is committed to transforming hospital management systems with its state-of-the-art software solutions. Our comprehensive suite of advanced tools and technologies streamlines operations, boosts …
The new AWS Generative AI Innovation Centre will link the cloud provider's machine learning and artificial intelligence professionals with clients and partners to speed up enterprise innovation.
MarketsandMarkets is here with a platform for Scientists, Microbiologists, Biologists, Pathologists and Researchers to come together. MarketsandMarkets is here with a platform for Scientists, Microbiologists, Biologists, Pathologists and Researchers to come together at the PathDx 2023 Confex on 23rd – 24th March 2023 in London. An opportunity to discuss future insights, innovations and research ideas with advanced solutions to the most challenges in infectious disease diagnostics, molecular diagnostics and digital pathologies verticals. Get a wind of how AI and machine learning are now applied to all the necessary diagnoses and clinical research. Be a part of interactive discussions on slide-free imaging, enterprise-wide solutions, and algorithms using machine learning and artificial intelligence that are being developed to improve diagnoses, guide treatment, and address a wide range of medical challenges.
SAE Media Group is proud to present its 4th Annual AI in Drug Discovery Conference, taking place from 13 - 14 March 2023 in London, UK.
With the recent pandemic highlighting the need for rapid drug discovery, AI has become an area of increased interest. This is driven by the ability to discover drugs through the use of machine and deep learning. The current challenges within the drug discovery industry include the significant time consumption and expenses involved. This conference will discuss the solutions to these problems with presentations and updates from leading industry experts.
AI in drug discovery is leading the way into a shorter, cheaper and more successful R and D era where compound generation is automated, drug synthesis is predictable and undruggable diseases are finally being targeted.
The uptake of structure-based target selection and innovative in-silico techniques are driving optimised, more efficient drug discovery. This, alongside sessions on automation, robotics and how to improve patient-centricity in precision medicine are just some of the topics set to be discussed which you wouldn't want to miss at the 4th annual AI in Drug Discovery Conference 2023.
Artificial Intelligence 2023 is an International platform to adverse and study about the latest technology, innovations, applications, and intense research to Share complete Knowledge. The conference contains significant international experts, professor, specialists, research scholars and Student Delegates and Exhibitors form all over the world to our congress with the theme “Deploying the knowledge on AI and robotics on the edge’’. Conference will be featuring oral presentations, poster presentations, keynote talks, workshops and many more. The conference will focus on Natural language processing, deep learning, latest innovations and applications, AI and ML learning algorithms, Types of AI and ML, AI and ML approaches, Robotics, Machine Learning Techniques, Neural Networks, Machine Learning Tools, Computer Vision uses Artificial Intelligence, Expert system, Reinforcement Learning topics related to almost all fields of AI Quantum Computing, Health care, Autonomous vehicles.
Algorithms, datasets, machine learning, deep learning, cognitive computing, big data, and artificial intelligence: IT expressions that took over the language of 21st-century healthcare with surprising …
3rd International Conference on Bioinformatics and Data Science (ICBDS – 2022) and 9th International Conference on Public Mental Health and Neurosciences (ICPMN – 2022) will be a unique conference where we will connect Biological Function through Computational Genomics to the world of integrated medicine and therapeutics. Functional genomics is a field of molecular biology that attempts to describe gene (and protein) functions and interactions. This science aims to understand the complex relationship between genotype and phenotype on a global (genome-wide) scale of different biological processes. Most researchers now study genes or regions on a “genome-wide” scale (i.e. all or multiple genes/regions at the same time), with the hope of narrowing them down to a list of candidate genes or regions to analyze in more detail. There are several specific functional genomics approaches depending on what we are focused on DNA level (genomics and epigenomics), RNA level (transcriptomics), protein level (proteomics), metabolite level (metabolomics) and phenotype level (phenomics). The recent trends in gene and genome editing technologies, promising genomic information can be modulated in the areas of medicine, agriculture and environment.
There has been a steep interest and investment in AI/ML projects in recent years. Success stories are regularly touted, but in between each win there several failures. With so many AI/ML use-cases left unexplored. Having a clear understanding of use cases, factors that contribute to failure, and factors that lead to success, will help demystify the pathway to long-term value realization. Furthermore, treating AI/ML as a means within a much larger arsenal will provide perspective on how to permeate AI/ML into the fabric of your organization. Join our upcoming webinar on October 13,and hear IQVIA’s Associate Directors in Data Sciences Mina Labib and Ruomei Li as they sets out to demystify AI and ML in data management.
Join leading researchers in the advancement of medical imaging technologies through AI/Machine Learning. Share your cutting-edge science and be part of thought-provoking conversations. Cutting-edge technical research and tools, state-of-the-art methods and practical applications, regulatory & business considerations, and standards in AI. Interested in the latest science around AI in medical imaging and how it’s applied in the clinic? You have come to the right place. Interact one-on-one with some of AI's most respected thought leaders to learn about the latest developments and breakthroughs in AI applications. Meet top industry influencers in a smaller setting that's ideal for making powerful connections.
Utilizing the most technologically advanced Master Patient Index (MPI) process, 4medica has revolutionized how organizations can analyze, improve, and utilize health data. However, by applying AI and …
Managing fraud, waste, and abuse (FWA) is a hot topic across the health care industry. As a major driver of costs, and with the recent guidance issued by the Centers for Medicare & Medicaid Services (CMS), health care organizations must evaluate and prioritize a solution. Many organizations are leveraging artificial intelligence and machine learning (AI/ML) as a part of the solution, and when executed correctly, are able to adapt quickly to other healthcare business use cases. In this webinar, experts will share considerations in building a solution to detect and correct FWA from concept to production.
Attendees Will Learn About
Fully leveraging data as an asset in the organization
Applying AI-powered, actionable insights to uncover and investigate suspicious activity
Predicting scenarios that are likely to result in FWA and providing specific oversights to minimize cost
Scaling and automating AI/ML workloads
The value of an open-source approach: Building a cloud-native, reusable platform for AI/ML workloads
In many healthcare organizations, the experience of managing through COVID-19 uncertainty has been a catalyst to reevaluate current planning tools and processes to improve planning efficiency and agility. In this session, we’ll highlight the planning trends that have emerged in our industry and examine what modern planning looks like in industries outside of healthcare to project what our future might look like.
A part of this forward-looking session will also explore how data science is evolving and becoming more integrated into planning tools and processes through machine learning and more predictive analytics.
Technology will be at the very heart of the new patient centric future for personal health and wellbeing, with existing healthcare systems having to radically change.
The Digital Health Technology Show returns to The Business Design Centre in London , bringing together global innovators in digital health, to showcase the very latest technologies disrupting traditional healthcare provision across the world.
Situated alongside other disruptive technology shows - The Wearable Technology Show & AVR360 Show - the event attracts more than 4,000 delegates. 5G, AI, machine learning and predictive medicine will all be covered in the two-day conference programme, featuring thought leaders, innovators and senior executives from across the globe.
Data Analytics, Artificial Intelligence, and Machine Learning are empowering businesses, solving tough challenges, and have the potential to make life easier and more productive for us all. C-level executives in a variety of industries are using these technologies to make better business decisions and to serve their customers better and more efficiently. However, navigating through the hype and the magnitude of data may be a challenge.
Beyond Big Data is a unique opportunity for managers on every level to learn more about the opportunities of these technologies while connecting with others in the industry. With a focus on trends and best practices, the event aims to explore strategies, best practices and technologies surrounding data analysis, artificial intelligence and machine learning while keeping in mind the implications of regulations, privacy, data protection, and ethics that govern this field.
In his March HIMSS22 session entitled " Using Explainable AI to Mitigate SDOH Contributors to Risk," Dr. Jim Walton, president and CEO of Genesis Physicians Group, will describe how his organization, …
Recently the FDA, Health Canada, and the United Kingdom’s Medicines and Healthcare products Regulatory Agency (MHRA), released their “Guiding Principles for Good Machine Learning Practice” to help the …
This two-day conference will continue to look beyond the hype to get to the bottom of the real applications of AI & ML in healthcare. It will also explore how clinicians and industry alike can leverage these emerging technologies to drive efficiencies, unlock opportunities for discovery and detection, enable greater accuracy, and improve health outcomes.
The conference contains significant international experts, professor, specialists, research scholars, and Student Delegates and Exhibitors form all over the world to our congress with the theme “Deploying the knowledge on AI and robotics on the edge’’. Conference will be featuring oral presentations, poster presentations, keynote talks, workshops and many more.
The Oklahoma changemakers have devised a system for using artificial intelligence to visualize superimposed and anatomically aligned 3D CT scan data during surgery.
A University of Oklahoma researcher …
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