#Machine learning in medicine

[manuelnunezmd]

🚀 Discover how AI is revolutionizing patient care in Malaysia! Dive into the groundbreaking initiatives of the new AI Institute and see the future of healthcare. #AIHealthcare #HealthTech

[mehmetyildizmelbourne-blog]

Why I Believe AlphaFold 3 is a Powerful Tool for the Future of Healthcare

Insights on a groundbreaking artificial intelligence tool for health sciences research Dear science and technology readers, Thanks for subscribing to Health Science Research By Dr Mike Broadly, where I curate important public health content. A few months ago, I wrote about AlphaFold 3, a groundbreaking AI tool that helps scientists understand protein structures, which are essential for…

[mindblowingscience]

The melding of visual information (microscopic and X-ray images, CT and MRI scans, for example) with text (exam notes, communications between physicians of varying specialties) is a key component of cancer care. But while artificial intelligence helps doctors review images and home in on disease-associated anomalies like abnormally shaped cells, it’s been difficult to develop computerized models that can incorporate multiple types of data. Now researchers at Stanford Medicine have developed an AI model able to incorporate visual and language-based information. After training on 50 million medical images of standard pathology slides and more than 1 billion pathology-related texts, the model outperformed standard methods in its ability to predict the prognoses of thousands of people with diverse types of cancer, to identify which people with lung or gastroesophageal cancers are likely to benefit from immunotherapy, and to pinpoint people with melanoma who are most likely to experience a recurrence of their cancer.

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

[asapcvndy]

Hi everyone,

My friends dog needs surgery and is in need of some help. He’s one year old and could develop some serious complications if this issue isn’t resolved soon. Thank you in advance and god bless 🤍

[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.

[lizardho]

I’ve been thinking a lot lately about some of the people I interact with. I have a coworker who I am pretty sure is a MAGA type, and she is also a lovely woman who is dreadfully overworked and so good at connecting to patients when they call. I can see the conflict on her face when she talks to me, a gigantic tranny dork who speaks Spanish and affirms the LGBT community, but can also talk to her about her cows and knows about guns and stuff. I can see the fear in the eyes of my former Young Men’s leader when he misgenders me and realizes that I’m not an ideology but a person he has known for a long time. I can see the way my extended family stop and stutter over political discussions when they realize they are talking about me. And I don’t know why but lately it’s just made me think about my neighbor as a kid.

When we moved to Arizona, we moved next door to a lovely retired couple - John and Lucy. John was a veteran of WWII, he had an M.D. and a Ph.D. in radiology, and he LOVED us to pieces. His wife, Lucy, was a sharp and gifted woman - well spoken, very observant, and VERY clever. I just know that she used that cleverness as a mom to great effect, because with my and my siblings she always managed to find a way to send us home with candy and treats for a week despite my dad’s protests. We loved them, growing up, and even though they have long-since passed away I love them still, and I love what I learned from them.

John was, as stated, a WWII veteran. He was enlisted as a rifleman, and later as a front line medic, starting at Point Du Hoc and moving inwards to France and towards the Rhine. He let me do a report on him in 6th grade where he shared war stories with me he had kept to himself his whole life - he said it was out of respect for his friends who didn’t get to come home and tell their stories.

He said he told me because he knew I could respect the memories of his friends.

He showed me his collection of medals, and which he’d kept hidden away in a sock in his attic because he’d feel an immense grief any time he saw them. He had wanted to be a doctor his whole life, prior to being drafted he was studying medicine and had taken the Hippocratic oath to Do No Harm. He saw his medals as a reminder that he had Done Harm.

After telling me his stories he was able to convince himself that while he had Done Harm, it was only because his only other alternative was, to him, cowardice. He chose to be brave even if it meant acting against his Oath because he felt that if he didn’t do it someone else would have to go in his place and he would be responsible for the harm that befell them. I don’t think that’s true, but for him it was and that was something no being on earth could have ever dissuaded him from believing.

He shared wild stories - melee combat on the beach, clearing artillery bunkers, receiving a Purple Heart for being injured in hand-to-hand combat with a Wehrmacht rifleman he said he felt pity for because they were the same age and he had to imagine the man he was fighting had been drafted just like him.

He shared how he was awarded a Silver Star for charging a machine gun nest, but shared that he was most proud of not killing anyone in the process. He threw a grenade with the pin still in it and when the machine gunners jumped to avoid being blown up they were killed by someone else so he didn’t have to do it. He took the machine gun and shot the other machine gun in that French field to pieces so he didn’t have to kill the people operating it. He said they were giving out Silver Stars like candy but I knew he was being modest.

He told me about being redesignated as a medic, about how he crawled for about 500 yards on his belly to rescue an injured tank driver, then threw him over his back and crawled the same 500 yards back (1000 yards total) to treat his injuries. He said he met the man in an Army hospital in England after his spine was broken by a high explosive panzer shell was fired through a hollowed out French farmhouse and landed about 20 feet away from him.

He told me about all the people he helped and saved as a medic, he told me about his work in radiology and research after the war. He showed me a hallway that was quite literally wallpapered with academic honors he’d earned as a researcher. He told me about how his first Fourth of July back was a horror show for him because fireworks and German artillery make very similar sounds. He told me about how he woke up in a cold sweat well over half a century later hearing the screams of German artillery men being burned alive with flamethrowers, or hearing his own voice apologizing to the young German soldier he stabbed in the heart at Point Du Hoc.

He told me that when he was asked to present at a medical conference in Germany 25 years after the war ended that he was so scared he couldn’t step off the plane, and that his wife had to hold his hand and lead/pull him with her. He said he was not scared because he was worried about being triggered, but because he knew that someone somewhere outside of that plane had the course of their life irreparably altered by his military service. That to someone out there he was the cause of immense suffering and harm. That some unwitting waiter could be the son of the Nazi Officer he stabbed in the heart with a 12-inch hunting knife. That some woman asking questions in the audience would be the daughter or widow of a man he sent to judgement with a .30-06. He was scared that they would hate him.

He knew what the Nazi’s had done, he knew better than anyone I’d ever met. He’d watched the documentaries, he’s seen the PoWs returning from camps, he’d seen the civilians massacred and tortured by their regime, but he also knew that among the monsters were people like him - idealistic 20-somethings who only wanted to make the world better and were ripped away from that life by the Nazi war machine. And he spent his whole life mourning the loss of innocence and peace that was forced on so many people by such a corrupt power.

To be honest I don’t know if I could do that, but he could. He told me he could still feel the dead and lost with him, both when he slept and when he woke. He told me he thought he’d go to his grave never having told a word of this to anyone. That the stories of him and his friends and allies would disappear silently with him and those like him. That he had wanted that until he realized that he didn’t have to sell out to share the stories - that he could give the stories away for free to someone who would love the people in them, and not just the content of them. He didn’t want his stories to be used as Patriotic Pornography by some TV network or magazine. He wanted the people he knew to be respected, he wanted their memories to be honored and loved, and he entrusted me, a 12-year-old “boy” to do that.

He told me for years afterwards that after telling me these stories that he slept better than he ever had. That by sharing the stories with someone who could hear Him over the din of victory and glory and honor and revisionistic history. Someone who could see the man in the story and not just see the plot of a battle being won. He wanted to be human, and he wanted the people he saw die to be human too - everyone, not just the people on his side. He wanted someone to see and to know the anguish of having to look someone in the eye as heartblood muddies the ground beneath them and hope that they understand that this was not an act of love or hatred but an act of desperation. To hope that you had just taken out One Of The Bad Ones instead of a medical student or a poet who had been drafted. He wanted me to see how hard he had worked since then to build a world without scarcity, to build a world of peace. He wanted me to know SO badly that the cost of violence, any violence, even necessary violence, is always ALWAYS paid by both parties involved.

I think about the rise of the new right wing - the new Nazi movement’s traction in politics, and I feel sad and scared - the world that Johnathan J Yobaggy, my neighbor, my friend, and my hero, worked SO hard to build is being done away with by people who do not understand the cost of the path they are entering. I can see brief moments of recognition in the eyes of some of the people I mentioned - The former young men’s president who immediately regrets misgendering me and hen he makes eye contact with me and sees Me staring back at him and not a faceless “ideology.” I can hear it in the voice of my uncle who quietly comes up to me to apologize for some homophobic comment he made absentmindedly. I can see it in the eyes of racists and sexists being interviewed on TV when they realize that they didn’t vote for a concept, they voted for a real thing. And honestly, I have mixed emotions about it. Because while I understand frustration with the status quo, the importance of basic human needs like affordable good and rent, and I know the fear that comes with feeling powerless, I also can’t help but grieve the endless wheel of history bringing us back to this God Damned Fucking Place again. I hope we can avoid this fate, not just for our sake but for the sake of everyone who has ever tried to make the world safer. For everyone who has ever tried to make up for human nature, for everyone who has ever placed themselves on the offering plate to protect others from the cruelty they know lies just under the surface of mankind’s tenuous grip on progress. I want SO badly for there to be a solution to this, for the people who idolize the Nazi party and the impact of fascism to see that the price of this path is paid in more than just blood but in soul. That they’re allowing themselves to be devoured too. I want for the centrists and the fence sitters and the idealists who want to “change it from the inside” to see how dangerous our politics have become. I want them to see that they’re losing the things that make them great in exchange for a security blanket that’s now become far far far too small to ever work for them again.

Safety found in the past is already gone, and safety found in the future is only as real as a daydream. That any ideology that promises that by “joining us now we’ll make things rough so we can make things safe in a decade” is a promise made by those who will not have to fight the battles they send you to.

I don’t know if America was ever really great, but as long as John was alive it felt great to me. There is no ideology that can replace a neighbor. No tax plan that can replace a friend. No grocery bill that can replace community and connection. No amount of budget cuts that can replace kindness. No amount of suffering from people I hate that will ever make more love. I don’t know how to make America great, but I know how to make my America great and it is not by selling out integrity and compassion and community and fucking humanity to make eggs and gas cheaper. It is by seeing and hearing the people around me. I’m not Mormon anymore, but I still know the value of mourning with those that mourn and comforting those that stand in need of comfort. I’m not Christian anymore but I still have Eyes That Can See and Ears That Can Hear. I want to make this all stop but I can’t stop the collective power of tens of millions of people so instead I listen to my MAGA coworker tell me about how sick her kid was last week. I make jokes with my Young Men’s leader. I hug my uncle. I let them see me fully, as a human and not an ideology. As a woman and not the concept of gender. As a whole person and not someone who can be easily summarized or boiled down into something short and quippy. And I let them know I can see them fully too, and I can see all their humanity as easily as they can see mine. I just have to hope that this works - that enough people can See and Hear the people in their lives who matter to them to bring them out of their personal world of forms and into the real world.

I am probably, honestly, just spiraling a little bit. I took my ADHD meds today and in addition to helping me focus they make me a little anxious so I doubt things are as bad right now as they seem. But just in case there’s any truth to the way things seem to be going, remember, and I mean this seriously: Be kinder to each other, be gayer, and read more Terry Pratchett.

And for the love of god day hello to your neighbor.

[wanderingandfound]

Interesting ways to see how my cats do like people, when I've been the only person in the house for a few days, after 5+ years of one or both of my parents working from home.

Before leaving for work yesterday Smudge wanted to be on the catio but I didn't want him out there all day so I denied him. When I come home I immediately call the cats to the catio door to let them out but they aren't really interested. It's only after I've been home for an hour or so that they ask to go out.

When I go to bed last night Blur is being playful on my bed, and does not immediately leave once I turn off the lights and put on my breathing machine like normal. I wonder how much she usually plays with the dog, who is not here.

Around 5 AM Smudge was determined to wake me up and luckily for him I missed my dose of sleep medicine so I was able to wake up. I follow him down the stairs thinking maybe my brother closed the stair door and unintentionally trapped the cats up here (which was why I awoke to them growling at each other on my bed on Saturday). But no, the door was open. He went to his food dish which had food in it, and didn't bother me when I went back to bed.*

Later when I'm awake but still in bed Blur is hanging out on my bed, which is unusal but not rare. She starts growling at Smudge as he comes up for pets, and eventually abandoneds the bed for the top of the cat tree. Smudge leaves and then comes back for the middle of the cat tree. Despite this being the same cat tree as the one in the living room, I'm not sure if I've ever seen the both of them in this one.

[mindblowingscience]

Researchers have developed a machine learning algorithm to accurately detect heart murmurs in dogs, one of the main indicators of cardiac disease, which affects a large proportion of some smaller breeds such as King Charles Spaniels. The research team, led by the University of Cambridge, adapted an algorithm originally designed for humans and found it could automatically detect and grade heart murmurs in dogs, based on audio recordings from digital stethoscopes. In tests, the algorithm detected heart murmurs with a sensitivity of 90%, a similar accuracy to expert cardiologists.

Continue Reading.

[full-stackmobiledeveloper]

Elevate Your Mobile App with AI & Chatbots Build Your AI-Powered App: Unlock Next-Gen Capabilities Master the integration of AI and chatbots with our 2025 guide, designed to help you create next-gen mobile applications boasting unmatched intelligence. Ready to elevate? This comprehensive guide equips you with the knowledge to seamlessly integrate AI chatbots and advanced AI into your mobile app for a truly intelligent and future-ready solution.

[danieldavidreitberg]

🚑 AI is transforming healthcare safety with faster diagnoses, predictive analytics, and real-time monitoring—no superhero capes required! 🏥🔬

AI #HealthcareInnovation #MedicalTech #PatientSafety Daniel Reitberg

[mestastop]

Uncoupling of Proliferation and Metastasis: A New Frontier in Cancer Research 

Cancer progression has long been associated with the simultaneous growth of tumors and their ability to spread to distant organs. However, recent research highlights a crucial aspect of cancer biology—the uncoupling of proliferation and metastasis. This concept challenges the traditional view that aggressive tumor growth always correlates with higher metastatic potential. Mestastop provides innovative solutions in this field, focusing on understanding and targeting metastasis independently of tumor proliferation. 

Understanding the Uncoupling of Proliferation and Metastasis 

Proliferation refers to the rapid multiplication of cancer cells within the primary tumor, whereas metastasis involves their migration and invasion into other parts of the body. Traditionally, both processes were believed to be interconnected, with fast-growing tumors being more likely to metastasize. However, studies now suggest that some cancer cells can maintain low proliferation rates while exhibiting high metastatic potential. This uncoupling of proliferation and metastasis is a critical finding because it explains why certain tumors remain small yet still lead to aggressive disease progression through distant organ colonization. 

Implications for Cancer Treatment 

Understanding this decoupling offers new therapeutic opportunities. Conventional cancer treatments like chemotherapy primarily target rapidly dividing cells, often overlooking metastatic cells that do not rely on high proliferation rates. By focusing on metastasis-specific pathways, researchers can develop therapies that prevent cancer spread even in cases where tumor growth is controlled. Mestastop specializes in such approaches, providing cutting-edge solutions to target metastasis independently of tumor size and growth rate. 

The Future of Cancer Research 

By shifting the focus from just tumor shrinkage to metastasis prevention, researchers can improve patient survival rates and reduce cancer recurrence. The uncoupling of proliferation and metastasis presents a paradigm shift in oncology, emphasizing the need for novel biomarkers and therapeutic strategies. As cancer research continues to evolve, targeting metastasis separately from tumor proliferation could redefine treatment outcomes. 

Mestastop is at the forefront of this innovative research, offering advanced solutions to tackle metastasis in a more effective manner. Stay informed about our latest developments by visiting https://mestastop.com/, calling us at 91+9177884450, or emailing us at bd@mestastop.com. 

[gigayak]

Up, up and away – clearing the clouds: Bringing clarity to Uveitis Diagnosis with AI

[andranikfakirian]

Project "ML.Pneumonia": Finale

Final accuracy metrics:

Project model - 83%

Basic model - 75%

Basic model with larger dataset - 83%

Overall results:

A good model of autoencoder has been developed

A classifier has been created which surpasses the basic model in accuracy

Both models are scaled well (the more voluminous datasets are used in training - the better results could be obtained)

Development proposals:

Increase hardware resources

Consider the need to create larger models (increase the number of CNNs layers, filters…)

Use larger datasets

Improve the preprocessing of the datasets used (CNN may not handle incorrectly rotated scans well, and not always the corresponding scans are presented in the datasets (e.g. in one of the datasets I've noticed a longitudinal CT scan instead of a transverse one))

The link to the GitHub repository with clean project code and details of results is left below.