#Artificial Intelligence (AI) in Medicine

[drferox]

There’s a couple of things happening on the information technology side of the veterinary industry at the moment:

Practice owners are increasingly aware that they need an online presence (website plus social media), but most of them have minimal interest in actually making one because they want to focus on patients. You know, the work they signed up for in the first place.

Various tech companies sell packages to most vet practices doing some or all of this, including ‘writing SEO optimised articles for your website’.

While many of those articles were copy-paste, now they are often ‘unique’ which looks more and more AI generated.

At best, this looks like shoddy articles written for a machine instead of for people. At worst it generates information which is not current or outright false. In the middle, you get articles reminding you to brush your bird’s teeth.

So I find myself wondering if it’s even worth the effort to write informative content and it mostly feels like it doesn’t. Not compared to how fast and easily AI stuff can be churned out. Seriously, there are so, so many articles and videos out there about how to use AI to automate content generation or digital shops… it’s depressing.

But it probably is still worth writing things because it’s always been worth trying to combat misinformation. It’s just that misinformation and weird information can be generated so much more rapidly.

And I realise that whatever I put out on the internet might be chopped up and rearranged in the AI blender, but somebody has to keep telling the internet that you don’t have to brush your bird’s teeth.

[mindblowingscience]

Researchers have identified a series of blood markers that betray the presence of Parkinson's disease up to seven years before most symptoms present. If findings from this small study can be replicated in larger populations, a simple blood test could be developed to identify those at risk. With around 10 million people impacted by Parkinson's globally, there is an urgent need to develop better treatments and preventative strategies. One of the reasons this has proved challenging is our inability to identify people at risk of Parkinson's early enough to trial mitigation strategies. So, University College London biochemist Jenny Hällqvist and colleagues used machine learning models to find eight proteins in our blood that change as Parkinson's disease progresses.

Continue Reading.

[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

[sr71blackbirdd]

I’ve been thinking a lot about AI models for patient diagnosis in medicine and of course I’ve always thought of them as like, input blood pressure, heart rate, temperature, etc. but I watched a podcast episode about AI in immunology and they brought up patient medical records in AI diagnosis tools. I’m wondering about how something like that could be made ethical. Any thoughts?

[somyapandit]

Infermedica AI in Healthcare: Beyond Thinking Like a Doctor

In this insightful video, we explore the groundbreaking role of Infermedica AI in healthcare.Learn how advanced AI technologies are transforming medical diagnostics by going beyond simply mimicking a doctor's thought process. Discover how Infermedicaenhances patient care, improves diagnosis accuracy, and empowers healthcare professionals. This video dives into the future of AI in the medical field and its potential to revolutionize healthcare delivery worldwide.

[frank-olivier]

The Synthbiosis Vision: How Biology and Technology are Creating a New Future

Michael Levin, distinguished professor of biology at Tufts University and fellow at Harvard's Wyss Institute, presented his groundbreaking work in the emerging field of diverse intelligence. He discussed his innovative approaches to understanding and communicating with the unconventional intelligence of cells, tissues, and biological robots. This groundbreaking research led to new breakthroughs in regenerative medicine, cancer treatment, and bioengineering, as well as new insights into the mechanisms of evolution and the nature of embodied minds. Levin also introduced the concept of "freedom of embodiment," a visionary idea that allowed us to imagine a future in which AI is just one of many new forms of life and intelligence, and the boundaries between humans, machines, and nature become increasingly blurred.

Embodied Minds: Discovering Diverse Intelligence Through the Lens of Biomedicine (Dr. Michael Levin, October 2024)

Elena Sergeeva: Applications of AI in human longevity and anti-aging research (Jay Richards, COSM, 2023)

Rupert Sheldrake and Mark Vernon look at the different forms of memory, from episodic memory to habits, and explore how memory is linked to emotions and place. Drawing on the wisdom of Aristotle to A.N. Whitehead, they examine the connection between memory and these aspects. Rupert's research led to the development of the theory of morphic fields, which states that all self-organizing systems exist within these fields. The conversation also touches on Indian concepts of memory and their relationship to ideas of reincarnation, as well as the possibility that everything that exists exists in some form in the memory of God.

How does Memory work? (Rupert Sheldrake, September 2024)

Open Q&A with Michael Levin & Bernardo Kastrup (Adventures in Awareness, October 2024)

Thursday, October 17, 2024

[thetechempire]

World's first fully robotic heart transplant performed

🔹A groundbreaking achievement in medical technology has been made at King Faisal Specialist Hospital and Research Centre in Riyadh, Saudi Arabia, where the world’s first fully robotic heart transplant was successfully performed. The operation, lasting about two and a half hours, was conducted on a 16-year-old patient suffering from end-stage heart failure, who specifically requested that his chest remain unopened during the procedure.

🔹The surgery was led by cardiovascular surgeon Feras Khaliel, who prepared meticulously with his team, conducting seven training sessions over three days to ensure everything went smoothly. This rigorous preparation highlights the complexity and innovation involved in performing such a pioneering operation.

🔹Majid Al Fayyad, the CEO of the medical center, praised the accomplishment as a significant advancement in healthcare, drawing parallels to the historical significance of the first heart transplants conducted in the 1960s. The fully robotic approach marks a new era in surgical procedures, emphasizing precision and minimally invasive techniques.

🔹This landmark surgery not only showcases the capabilities of robotic technology in medicine but also sets a precedent for future procedures. It represents a major step forward in cardiac care, offering hope for improved outcomes in patients requiring heart transplants.

[heardatmedschool]

“In some years, we’ll have AI doing it for us, but for now we have to fry our brains doing these analysis.”

About evaluating the quality of evidence.

[forensicfield]

Artificial Intelligence Technology and Forensic Science

Artificial Intelligence Technology and Forensic Science collaborate to revolutionize crime investigation and evidence analysis, enhancing accuracy and efficiency. #forensicscience #forensicfield #artificialintelligence and forensicscience #crimescene

Continue reading Artificial Intelligence Technology and Forensic Science

[mindblowingscience]

Sepsis is a life-threatening infection complication and accounts for 1.7 million hospitalizations and 350,000 deaths annually in the U.S. Fast and accurate diagnosis is critical, as mortality risk increases up to 8% every hour without effective treatment. However, the current diagnostic standard is reliant on culture growth, which typically takes two to three days. Doctors may choose to administer broad-spectrum antibiotics until more information is available for an accurate diagnosis, but these can have limited efficacy and potential toxicity to the patient. In a study presented at ASM Microbe, a team from Day Zero Diagnostics unveiled a novel approach to antimicrobial susceptibility testing using artificial intelligence (AI).

Continue Reading.

[getmoneymethods]

Future of AI: Predictions and Trends in Artificial Intelligence

Introduction: Exploring the Exciting Future of AI

Artificial Intelligence (AI) has become an integral part of our lives, revolutionizing the way we work, communicate, and interact with technology. As we delve into the future of AI, it is essential to understand the predictions and trends that will shape this rapidly evolving field. From machine learning to predictive analytics, natural language processing to robotics, and deep learning to ethical considerations, the possibilities seem limitless. In this article, we will explore the exciting future of AI and its potential impact on various industries and aspects of our lives.

The Rise of Machine Learning: How AI is Evolving

Machine learning, a subset of AI, has been a driving force behind the advancements we have witnessed in recent years. It involves training algorithms to learn from data and make predictions or decisions without explicit programming. As we move forward, machine learning is expected to become even more sophisticated, enabling AI systems to adapt and improve their performance over time.

One of the key trends in machine learning is the rise of deep learning, a technique inspired by the structure and function of the human brain. Deep learning algorithms, known as neural networks, are capable of processing vast amounts of data and extracting meaningful patterns. This has led to significant breakthroughs in areas such as image recognition, natural language processing, and autonomous vehicles.

Predictive Analytics: Unleashing the Power of AI in Decision-Making

Predictive analytics, powered by AI, is transforming the way organizations make decisions. By analyzing historical data and identifying patterns, AI systems can predict future outcomes and provide valuable insights. This enables businesses to optimize their operations, improve customer experiences, and make data-driven decisions.

In the future, predictive analytics is expected to become even more accurate and efficient, thanks to advancements in machine learning algorithms and the availability of vast amounts of data. For example, AI-powered predictive analytics can help healthcare providers identify patients at risk of developing certain diseases, allowing for early intervention and personalized treatment plans.

Natural Language Processing: Revolutionizing Human-Computer Interaction

Natural Language Processing (NLP) is a branch of AI that focuses on enabling computers to understand and interact with human language. From voice assistants like Siri and Alexa to chatbots and language translation tools, NLP has already made significant strides in improving human-computer interaction.

In the future, NLP is expected to become even more advanced, enabling computers to understand context, emotions, and nuances in human language. This will open up new possibilities for virtual assistants, customer service bots, and language translation tools, making communication with technology more seamless and natural.

Robotics and Automation: AI's Impact on Industries and Jobs

AI-powered robotics and automation have the potential to revolutionize industries and reshape the job market. From manufacturing and logistics to healthcare and agriculture, robots and automated systems are already making significant contributions.

In the future, we can expect to see more advanced robots capable of performing complex tasks with precision and efficiency. This will lead to increased productivity, cost savings, and improved safety in various industries. However, it also raises concerns about job displacement and the need for reskilling and upskilling the workforce to adapt to the changing job landscape.

Deep Learning: Unlocking the Potential of Neural Networks

Deep learning, a subset of machine learning, has gained immense popularity in recent years due to its ability to process and analyze complex data. Neural networks, the foundation of deep learning, are composed of interconnected layers of artificial neurons that mimic the structure of the human brain.

The future of deep learning holds great promise, with potential applications in fields such as healthcare, finance, and cybersecurity. For example, deep learning algorithms can analyze medical images to detect diseases at an early stage, predict stock market trends, and identify anomalies in network traffic to prevent cyberattacks.

Ethical Considerations: Addressing the Challenges of AI Development

As AI continues to advance, it is crucial to address the ethical considerations associated with its development and deployment. Issues such as bias in algorithms, privacy concerns, and the impact on jobs and society need to be carefully considered.

To ensure the responsible development and use of AI, organizations and policymakers must establish ethical guidelines and regulations. Transparency, accountability, and inclusivity should be at the forefront of AI development, ensuring that the benefits of AI are accessible to all while minimizing potential risks.

AI in Healthcare: Transforming the Medical Landscape

AI has the potential to revolutionize healthcare by improving diagnosis, treatment, and patient care. From analyzing medical images to predicting disease outcomes, AI-powered systems can assist healthcare professionals in making more accurate and timely decisions.

In the future, AI is expected to play an even more significant role in healthcare. For example, AI algorithms can analyze genomic data to personalize treatment plans, predict disease outbreaks, and assist in drug discovery. This will lead to improved patient outcomes, reduced healthcare costs, and enhanced overall healthcare delivery.

Smart Cities: How AI is Shaping Urban Living

AI is transforming cities into smart, connected ecosystems, enhancing efficiency, sustainability, and quality of life. From traffic management and energy optimization to waste management and public safety, AI-powered systems can analyze vast amounts of data and make real-time decisions to improve urban living.

In the future, smart cities will become even more intelligent, leveraging AI to optimize resource allocation, reduce congestion, and enhance citizen services. For example, AI-powered sensors can monitor air quality and automatically adjust traffic flow to reduce pollution levels. This will lead to more sustainable and livable cities for future generations.

AI in Education: Enhancing Learning and Personalization

AI has the potential to revolutionize education by personalizing learning experiences, improving student outcomes, and enabling lifelong learning. Adaptive learning platforms powered by AI can analyze student data and provide personalized recommendations and feedback.

In the future, AI will play a more significant role in education, enabling personalized learning paths, intelligent tutoring systems, and automated grading. This will empower students to learn at their own pace, bridge learning gaps, and acquire the skills needed for the future job market.

Cybersecurity: Battling the Dark Side of AI

While AI offers numerous benefits, it also poses significant challenges in the realm of cybersecurity. As AI becomes more sophisticated, cybercriminals can exploit its capabilities to launch more advanced and targeted attacks.

To combat the dark side of AI, cybersecurity professionals must leverage AI-powered tools and techniques to detect and prevent cyber threats. AI algorithms can analyze network traffic, identify patterns of malicious behavior, and respond in real-time to mitigate risks. Additionally, organizations must invest in cybersecurity training and education to stay ahead of evolving threats.

Conclusion: Embracing the Future of AI and Its Limitless Possibilities

The future of AI is filled with exciting possibilities that have the potential to transform industries, enhance our daily lives, and address some of the world's most pressing challenges. From machine learning and predictive analytics to natural language processing and robotics, AI is evolving at a rapid pace.

However, as we embrace the future of AI, it is crucial to address ethical considerations, ensure transparency and accountability, and prioritize inclusivity. By doing so, we can harness the power of AI to create a better future for all.

As AI continues to advance, it is essential for individuals, organizations, and policymakers to stay informed about the latest trends and developments. By understanding the potential of AI and its impact on various sectors, we can make informed decisions and leverage its capabilities to drive innovation and positive change.

The future of AI is bright, and by embracing it with an open mind and a focus on responsible development, we can unlock its limitless possibilities and shape a better future for generations to come.

[ailifehacks]

Generative AI in Drug Discovery: The Future of Pharma Innovation

Explore how Generative AI in Drug Discovery revolutionizes pharmaceutical innovation. Discover AI-driven methods, tools, and global biotech trends. Generative AI in Drug Discovery is redefining how pharmaceutical companies identify and develop new medicines. In the USA, UK, Canada, and Europe, this technology is revolutionizing biotech, improving molecule screening, and enhancing target…

[ainewsmonitor]

Machine Learning Model Predicts Childhood Malnutrition in Kenya with High Accuracy

A groundbreaking study published in PLOS ONE has demonstrated the potential of machine learning (ML) to forecast acute childhood malnutrition in Kenya with remarkable accuracy. The research, led by a team of scientists from Microsoft AI for Good, Amref Health Africa, and the Kenyan Ministry of Health, leverages clinical data and satellite imagery to predict malnutrition risks up to six months in…

[nerdie-faerie]

The joys of studying a field of science is the constant reference to covid and ai

[surlycakes]

How I Made the World Stop Spinning. Mostly.

One Saturday morning a couple of years ago, I was lounging in my recliner, shopping for sprinkles online (I hadn’t yet given up baking), when suddenly the world began to tilt and swirl. Not just your garden-variety dizziness, this was an “am I having a stroke or did someone spike my coffee?” moment. The room fought back as I tried to sit up. The vertigo was completely paralyzing and I realized I…