AI tool PIONEER transforms precision medicine
Cornell Chronicle - 25-Nov-2024Transforming treatments with AI-driven insights into protein interactions and disease
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Transforming treatments with AI-driven insights into protein interactions and disease
Revolutionary technology uses ECG data to spot hidden risks and enable early prevention efforts
NVIDIA will support Genesis in optimizing neural networks for 3D data handling
These tools help surgeons plan better, reduce risks, and adapt quickly
Drug improved chronic cough symptoms, contributing to a better quality of life\
Early tests show Tortus can accurately filter out background noise and focus on relevant information
This approach reduces errors and speeds up training for complex surgeries
This highlights promising paths for potential anti-ageing therapies
New tech at NHS trusts speeds up cancer detection in high-risk areas
Researchers found it unreliable in certain cases, especially with common pauses
New technology aims to improve diagnosis speed and accuracy in busy emergency departments
Their partnership with Calico focuses on age-related disease treatments
A new AI-powered system from the University of Toronto automates experiments
Findings offer hope for future therapies targeting sarcopenia and muscle loss
Shift aims to treat diseases like heart issues and arthritis by addressing aging’s root causes
AI transforms how we understand and target proteins
Balancing productivity gains with the risk of low-quality research
Revolutionizing chronic disease detection through innovative retinal imaging technology
Phase 2a trial results show positive outcomes among pulmonary fibrosis patients
Amidst rising AI use in healthcare, doctors seek guidance on safe practices and patient privacy
An AI model set to transform drug discovery through cutting-edge molecular predictions
Innovative platform accelerates drug discovery for metabolic diseases and more
AlphaProteo redefines protein design with groundbreaking AI accuracy
German startup decodes the dark genome, advancing precision medicine
CortexW1 boosts lifespan of worms by 33%, highlighting AI's role in longevity research
This has led to better early cancer detection and improved patient care
This merger aims to deliver quicker results and generate substantial revenue
Regulation is essential to ensure patient safety and data protection
AI could cut preclinical drug development time by half, but rigorous trials are crucial
Researchers developed a "CD3 Score" to measure immune cell levels in tumours
Study also identified that compounds Torin2 and dactolisib extend Drosophila lifespan
C the Signs spots hidden patterns in patient records, leading to faster and early cancer diagnoses
This opens up new possibilities for regenerative medicine and tissue repair
Initial trials show promising results with improved symptoms and reduced waiting
System showed promising results in identifying high-risk individuals
New machine learning technique could revolutionize fight against superbugs
This can potentially reduce unnecessary hospitalizations and save NHS resources
The company aims to expand access to this technology for broader healthcare impact
This could help doctors find heart problems earlier and keep people healthier
Leveraging robotics and machine learning to design precise cancer treatments with minimal side effects
These early findings suggest AI could double the productivity of drug research
Though it has some flaws, it holds promise for future scientific advancements
The breakthrough could revolutionize drug discovery and disease treatment
Technology also raises concerns about job displacement in other fields
This could lead to safer and more effective treatments for genetic diseases
AI-powered protein design models to transform medicine with next-gen therapeutics
Could help doctors spot eye issues faster and decide who needs urgent care
In an NHS trial, the system successfully identified cancers missed by human doctors
This new technology could improve the accuracy of genetic testing
AI streamlines drug discovery, taking a potential treatment from concept to clinical trials in record time
This innovation explains its reasoning, boosting transparency in healthcare
This "physics-guided AI" approach promises deeper insights than current methods
Autonomous robot outperforms scientists, accelerating the path to new pharmaceuticals
It improved muscles and slowed down the disease in animals
AMIE surpassed human doctors in accuracy, empathy, and communication
AgeDiff could be a new way to predict disease risk and personalise healthcare
Their AlphaFold engine models proteins could lead to faster and more effective treatments
Eli Lilly and Novartis invest in cutting-edge AI to accelerate the search for life-saving treatments
Promising advance in antibiotics with potential to combat a major health threat
KDM1A emerged as dual-action therapeutic target for both
Allegations of a 90% error rate and pressure to cut costs fuel class action lawsuit
The tool presents a novel methodology for preventing heart diseases
Advancing computational biology to reprogram cells and transform the future of healthcare
A stepping stone towards personalized anti-ageing interventions
Company aims to impact a billion people's lives in five years
Michelle Donelan praises the AI investment, stating it will transform healthcare
Advanced biological ageing clock provides a precise evaluation of health & ageing
A deep dive into the AgingReG curated database of aging regulatory relationships in humans
Company is transforming healthcare and enabling personalised medicine
Company's quest to decode ageing and develop novel therapies gains momentum
Experts warn of the need for guidelines & oversight to ensure safe use of AI in healthcare
Method can accurately predict your age, smoking status, and disease risk
Highlights the potential of AI to accelerate drug discovery for several diseases
New AI technologies promise to accelerate scientific discoveries and cure diseases by the end of the century
AlphaMissense is a game-changer in genetic research for human health
Algocyte integrates data for personalised precision medicine
The model predicts the risk of chronic diseases before they even show up
Developing "biological software" for effective and affordable mRNA drug design
Novel approach to identify ageing targets and fight age-related diseases
Funds to help AI-discovered drugs enter clinical trials and expand its pipeline
AI can now design proteins that change shape in response to external stimuli
Three natural compounds identified, paving the way for new treatments
Pioneering a new era of medical technology to speed up drug development
Use of AI supported screening can help reduce workloads and patient wait times
AI-powered research platform to accelerate the processes in drug discovery and development
Groundbreaking InnerEye AI, developed by Addenbrooke's Hospital and Microsoft, revolutionises radiotherapy planning
Could target the treatment of a broader range of fibrotic indications beyond idiopathic pulmonary fibrosis
AI4HF uses latest methods to lower the risk of disease and develop patient centered care
Artificial intelligence identifies herbal compounds to safely eliminate senescent cells
Boston University's AI model outperforms the current standard of care and offers valuable insights in complex drug prescribing
AI scrutinized a list of 6,680 compounds, ultimately shortlisting potential antibiotics in under two hours
Calls for safe and ethical use of LLMs to protect patients and public health
Potential to fast-track patients to treatment and streamline CT scan analysis
ChatGPT demonstrates potential for assisting healthcare professionals in drafting patient communications, but caution advised
Genetika+ tests drugs against a patient's own cells; Insilico Medicine is slashing the time taken for drug discovery
Benefits of psychedelic drugs or AI compounds may outperform clinical drugs with fewer side effects; clinical trials yet to confirm
Had success in reducing muscle atrophy and discovered novel class of molecules to target cognitive decline
Current research identified drug candidate, big data analysis confirmed an association, and lab work demonstrated a biological effect
Effectiveness of AI technique can facilitate non-face-to-face treatment and reduction in medial cost
Plan is to build a generic platform then work with major pharma companies to take them to market
Detecting disease at the earliest stages and reversing it, instead of treating a chronic disease
Its a fully integrated approach for developing biologics for chronic and age-related diseases
Technology that can help detect various diseases quickly and accurately reduces staff time
AI-enabled imaging of the retina’s veins and arteries can specify the risk, results from big study
Founders are excited to find the impact when software intersects science
High sleep fragmentation was identified as an independent biomarker of future health
Digital twins amplify healthcare efficiency for improved outcomes.
Developing a software platform that uses quantum computers to accelerate the discovery of new drugs
It provides personalized nutrition, sleep, activity, and breathing guidance
AntiBERTa's advanced AI model unlocks deeper insights into antibody structure and function
Instead of caterogising cancer based on the effected body part or type, whole-genome sequencing could be more practical
Building from Deepmind's AI research, Isomorphic promises medical breakthroughs
Raised $18 million Series A funding to speed up ageing research
DKG subsidiary to introduce biomarker-driven Longevity risk mitigation and intervention support
Demonstrates the power of having millions of DNA records even with less reliable self-reported data
From drug discovery to longevity insights, a startup reshapes age-related medicine
Clinithink AI helped physicians in preventing serious complications among diabetes patients
Deep learning could improve diagnosis of non-white skin lesions if trained correctly
Rapamycin analogs may help prevent cerebral ischemia/reperfusion injury (CIRI)
Algorithm detects dementia better than neurologists, soon with a single brain scan
Anti-ageing probability validated from a worm with human-like metabolism
Latest AI platform developed to improve diagnostic accuracy of prostate cancer
Latvian based startup aims for cost-effective research studies, prioritizing study participants
New collab with Teva Pharmaceuticals to identify drug targets for various diseases
Storing data on glass platters could improve the outcome of surgeries
Google brings dermatology assistance using AI - can you trust the results?
New model for predictive analytics of acute cardiovascular disease
Raised $90M in series C funding - off to a great start initiating three clinical trials
Advances in longevity pharmacology to revolutionize healthcare with personalized therapies
Giant leap towards developing transformative medicines powered by machine learning
Highlights the diagnostic accuracy of musculoskeletal diseases using AI processed medical imaging
Insilico's novel drug target is prepping for IND studies, expecting to start clinical studies by early 2022
Collaboration among stakeholders can transform public health into public health longevity
Relays all information & reports to offer real time solutions to physician problems
Monitor real-time changes in serotonin levels & helps in developing new treatments
Has halved the mortality rates despite the second wave of the pandemic
Project InnerEye reduces clinicians workload and improves cancer care
Will help in developing designer meds, better crops & 'green enzymes' to counter pollution
Interoperability has always been problematic in healthcare - we really need to crack it for ageing research
AI provides cheaper and accurate precision for identifying colorectal polyps
Cartilage maps along with machine learning algorithms predict arthritic cases
An automated sense-check of publications sounds like a good idea
Peptides reduce inflammaging and improve standardised physical tests
Insilico Medicine is slashing the cost of drug development
This application of machine learning will soon speed up drug development
A report outlines how AI can advance genomics while addressing key challenges
Made possible by Calico's research expertise and Google AI's machine learning tech
They need one million computers and it's your chance to be one in a million!
A big study to look forward as it intends to improve disease prevention, diagnosis, and management
Very beneficial as health sector sees where to prioritize testing
There many CT images to analyse so this AI saves up times
Thanks to the algorithm scientists tested 107m compounds in just 3 days
Muscle regeneration would have a huge hit on healthspan - getting people more mobile again
If developed, new research could help to improve the quality of mental disease treatments
Can speed up drug discovery process using artificial intelligence
Partnering with Japan's DSP, a milestone is reached in OCD treatment
Unimaginable potential of AI yet to be discovered and applied in medicine
Diagnosis with AI combined with pathologist can reduce the risk of misdiagnosis
If clinical trials succeed, it will improve breast cancer screening accuracy and efficiency
The more people looking at clever new ways to beat cancer the better
People's eye changes over 10 years were correlated with the emergence of Alzheimer’s disease
Reduces the chances of missing even smallest precancerous lesions
Functional organs from stem cells possible through machine learning and gene-editing
Software guidance for patients gives privileges to white patients over black patients
Their "robot scientist" EVA is set to transform protein-based therapeutics
EVA combines machine learning, robotic automation, and synthetic biology
From lab to clinic in 2 years instead of 10 would have a huge impact on health
Trained on over 3 million photos - no human specialist has ever reviewed that many
Automation eliminates manual operation and leaves no room for errors
Analysis of cardiac MRI can be done faster, more accurate, using automated machine learning programs
Could help tackle venous thrombosis that becomes a bigger risk with age
RiskCardio relies on 15 minutes of a patient’s raw electrocardiogram (ECG) signal
Still not sure how the artificial intelligence does it though
Warns the doctors about rhythm abnormalities that went undetected
Priorities - finding new drugs to cure diseases or your privacy?
Improved accuracy of diagnosis and agreement between clinicians
In a few years, we might have enough training data to actually achieve some diagnostic results
Outpatient appointments at home, work or even inside your car
AI and doctors working together can be more effective
Powerful technology in the healthcare field must improve patients’ health
Regulators will struggle to keep up with improvements in AI diagnosis
More accurate than current methods - we'll hear this a lot with AI in healthcare
Another great example of machine learning saving time and lives
Once trained artificial intelligence is almost aways going to be more reliable than humans
100,000 Genomes Project has ended "diagnostic odyssey" for 1 in 4 participants with rare diseases
The REVOLVER A.I system is meant to predict a tumor’s mutation pattern based on previous cases
Groundbreaking research biotechs performs aging research together for longevity
This A.I reports over 50 different eye diseases with a 94% accuracy
Zitnik created a new network to describe how different drugs interact with our bodies
Google’s algorithm predicted inpatient mortality in two different hospitals
Veterans Affairs has announced a research partnership with Alphabet subsidiary DeepMind.
Crunched data from thousands of retinal scans to train an AI algorithm.
Plans to improve patient care in China and around the world
Predicts whether someone will die within three months to a year.
This comprehensive map of human cells will revolutionise medicine
Cardiologists analyse heartbeat scans incorrectly in one in five cases.
Hoping to accelerate precision medicine research into a cure for Alzheimer’s disease.
Will look at diet, lifestyle, occupational and environmental factors.
Able to distinguish potentially dangerous tumours from harmless growths.
80 million Chinese in new genome sequencing project.
Sensitivity of 95% and specificity of 100% for CT scans
Blood samples of an estimated half million veterans gathered.
Computers could start diagnosing patients’ illnesses within the next few years as artificial intelligence increasingly ousts doctors from their traditional roles.
Lifespan.io is launching a crowdfunding campaign to support MouseAGE.
Will study the connection between body bacteria and autoimmune diseases.
Lessons learnt may be applied by other oncologists in future
Including BenevolentAI which already has 24 drug candidates.
Interview with Dr. Alex Zhavoronkov, CEO of Insilico Medicine
University of Toronto Scarborough algorithms can generate 3D structures of nanoscale protein molecules.
US start-up Canary Speech using deep-learning to spot neurological conditions in voices.
IBM’s research labs are combining the company’s existing machine learning and artificial intelligence systems with newer kit.
Stanford Artificial Intelligence Laboratory used a deep convolutional neural network (CNN) algorithm.
Software learned to analyse blood tests and scans of beating hearts
Influence score (I-score) improved the prediction rate in breast cancer data from 70 percent to 92 percent.
GlaxoSmithKline employs online technology and a data algorithm developed by F1’s elite McLaren Applied Technologies team.
Asia’s largest healthcare group Apollo Hospitals says HAI or nosocomial infection is one of the biggest challenges faced by hospitals.
IBM’s AI system will attempt to solve some complex medical cases in Germany.
IDC predicts that 30 percent of providers will use cognitive analytics with patient data by 2018.
Seeking to make precision cancer therapy available to all.
Healthcare industry uses Big Data to identifying populations most likely to utilize its services.
IBM’s artificial intelligence system, Watson, compared the woman’s genetic information to 20 million clinical oncology studies.
Hospitals, laboratories and research facilities hold huge amounts of cancer patient data.
Samsung Medison has updated its RS80A ultrasound imaging system for breast-lesion analysis.
Healthcare professionals treat us according to evidence-based medicine.
Big Data has already offered up amazing proof of its applications
The bigness of data is not its absolute size, but the task of transforming it into wisdom.
Public Health England hosted PHE Data Week; a series of activity focussing on data and its importance to health protection, prevention and care.
In contrast to the EHR marketplace, where providers are more or less limited to a set list of certified products, healthcare organizations have a little more leeway when it comes to choosing big data analytics technologies to support more advanced health
Drugs can be expensive, difficult to research, hard to get approved.
Current electronic health records will soon be dwarfed by data generated by genetic and blood-marker tests, in addition to advanced scans and activity trackers.
Penn Medicine’s massively parallel computer cluster uses a huge volume of data to build prototypes of new care pathways.
American Academy of Nursing says electronic health records are incomplete and potentially insufficient if missing social and behavioral data.
Super computer at Beth Israel Deaconess Medical Center, Boston, MA, collects and analyzes patient data every 3 minutes. Uses artificial intelligence to compare medical history and current medication with data from 250,000 patients over 30 years.
11% improvement in a comprehensive measure of diabetes management.
IBM Watson artificial intelligence system to identify physiological indicators and red-flag behaviors of chronic conditions such as heart disease and obesity. 1 in 5 Americans could consult with Watson in a pharmacy kiosk – alerting your doctor of any con
Hundreds of thousands of people die each year in the US from sepsis – a condition where the immune system over responds to an infection triggering widespread, and often fatal, inflammation.
Advocate Health Care, a twelve-hospital health system based in Illinois, wanted to reduce unplanned readmissions which it considered a failure in transitions of care. Wanting to identify patients at highest risk for readmissions whilst still in the hospit
Dartmouth-Hitchcock Health System is piloting a healthcare solution called ImagineCare built on Microsoft’s new Cortana Analytics Suite.
5000 people selected for study in 1946, over 2000 still taking part. Project able to track affects of upbringing and lifestyle on disease and longevity.
MIT researchers analysed anonymous data from over 500,000 patients. Able to compare individual patient’s medical history with other people to predict diseases.
Pharmaceuticals companies analysings hundreds of thousands of DNA samples to identify new gene targets. Previously took decades to find and study enough people with rare traits.