Designing better antibody drugs with machine learning
Artificial intelligence could help to optimise the development of antibody drugs. This leads to active substances with improved properties, also with regard to tolerability in the body.
Artificial intelligence
Artificial intelligence has unimaginable potential to revolutionize medicine. We cover the latest technology breakthroughs of machine learning, deep learning algorithms, neural networks and pattern recognition that process mindboggling amounts of data, spot even the smallest detail in medical images and help medical professionals in designing treatment plans.
How AI can help slow down future pandemics
Researchers have investigated how machine learning can be used to find effective testing methods during epidemic outbreaks, thereby helping to better control the outbreaks.
Making AI understandable – constructing explanation processes
Human-machine interaction is complex. Researchers investigate a new form of interaction between humans and machines.
AI could crack the language of cancer
Powerful algorithms used by Netflix, Amazon and Facebook can ‘predict’ the biological language of cancer and neurodegenerative diseases like Alzheimer's.
Detecting carpal tunnel syndrome with AI and a game
Researchers combined motion analysis that uses smartphone application and machine learning that uses an anomaly detection method, thereby developing a technique to easily screen for carpal tunnel syndrome.
Early detection of bipolar disorder with AI-based tool
Researchers have created a machine learning model that helps identify bipolar disorder at earlier stages.
Unique AI method will speed up drug development
Artificial Intelligence is now capable of generating novel, functionally active proteins.
AI platform to assess blood vessel anomalies
Researchers have developed an AI platform that could one day be used in a system to assess vascular and eye diseases.
Smart system detects errors when medication is self-administered
Many patients use their inhalers and insulin pens wrong. Researchers have developed a system to reduce those numbers for some types of medications.
AI method can detect precursors to cervical cancer
Using AI and mobile digital microscopy, researchers hope to create screening tools that can detect precursors to cervical cancer in women in resource-limited settings.
AI can identify cancerous cells by their acidity
Using a special dye, cells are colored according to their pH, and a machine learning algorithm can detect changes in the color spectrum due to cancer.
Machine learning speeds up drug discovery
Researchers have developed a machine learning-based technique that speeds speeds up calculations of drug molecules' binding affinity to proteins.
COVID-19: AI models not yet suitable for clinical use
Researchers have found that out of the more than 300 COVID-19 machine learning models are not suitable for detecting or diagnosing COVID-19 from standard medical imaging.
AI system for the diagnosis of breast cancer
Researchers have developed a new tissue-section analysis system for diagnosing breast cancer based on artificial intelligence.
Key task in computer vision gets a boost
A researcher has demonstrated a technique that reduces the computing time for non-rigid point set registration relative to other approaches.
Brain-computer interface generates personally attractive images
Researchers have succeeded in making an AI understand our subjective notions of what makes faces attractive.
Deep learning tool to revolutionize microscopy
Researchers have developed a deep learning tool that offers new opportunities for analyzing images taken with microscopes.
AI identifies precancerous colon polyps
A machine learning algorithm helps accurately differentiate benign and premalignant colorectal polyps on CT colonography scans.
Microfluidics and AI microscopy measure hemoglobin
Researchers at the Indian Institute of Science and SigTuple Technologies have developed a method to measure hemoglobin levels in small-volume blood samples.
AI, holographic microscopy beat scientists at analyzing immunotherapy
AI is helping researchers decipher images from a new holographic microscopy technique needed to investigate a key process in cancer immunotherapy “live” as it takes place.
Explainable AI for decoding genome biology
Researchers have developed advanced explainable AI in a technical tour de force to decipher regulatory instructions encoded in DNA.
AI identifies 'ugly ducklings' to catch skin cancer
Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.
Designing medical deep learning systems
Researchers have analysed whether better design of deep learning studies can lead to the faster transformation of medical practices.
AI makes strides in search for COVID-19 treatments
A deep learning model that can predict how human genes and medicines will interact has identified at least 10 compounds that may hold promise as treatments for COVID-19.
How genetic motifs conduct "the music of life"
Using AI and supercomputers, researchers have discovered reoccurring patterns and combinations of the four molecular building blocks A, C, G and T.
'Liquid' machine learning system adapts to changing conditions
A machine learning system learns on the job. By continuously adapting to new data inputs, this “liquid network” could aid decision-making in medical diagnosis.
AI enhances predictions of COVID-19 outcomes
Researchers have used "federated learning" to examine electronic health records to better predict how COVID-19 patients will progress.
Smart apps help people with hearing loss
Researchers have developed smartphone-based apps that solve the biggest problems for people with hearing loss: filtering out background noise and improving speech perception.
Biomedical research: deep learning outperforms machine learning
Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.
Precision health in the palm of your hand
Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
Using light to revolutionize AI
Researchers have developed a new photonic processor that could revolutionize artificial intelligence.
Would we be able to control superintelligent machines?
Using theoretical calculations, scientists showed that it would not be possible to control a superintelligent AI.
A smart port for the brain
Researchers are creating a smart port to the brain that will use artificial intelligence to selectively stimulate tissue regrowth and seizure intervention.
Potential jurors favor use of AI in precision medicine
Physicians who follow AI advice may be considered less liable for medical malpractice than is commonly thought, according to a new study of potential jury candidates in the U.S.
Researchers compute turbulence with AI
The project relies on fusing reinforcement learning algorithms with turbulent flow simulations on the CSCS supercomputer "Piz Daint".