Skip to content Skip to sidebar Skip to footer

Healthcare

As LLMs become increasingly involved in healthcare, scientists are advocating for the establishment of ethical standards.

A recent study states that ethical guidelines for artificial intelligence (AI) in healthcare are lacking, despite the increasing use of AI in areas such as medical imaging analysis and drug discovery. The study, led by Joschka Haltaufderheide and Robert Ranisch from the University of Potsdam, investigated 53 articles to understand the ethical issues surrounding large…

Read More

The new AI system effectively detects Alzheimer’s disease through speech pattern examination.

Boston University researchers have developed an AI system that can predict with nearly 80% accuracy whether someone with mild cognitive impairment will develop Alzheimer's disease within six years, based on the analysis of speech patterns. The study, published in the journal Alzheimer’s & Dementia, leverages AI to extract diagnostic information from cognitive assessments, thus expediting…

Read More

Creating medical content in the era of generative artificial intelligence.

The AWS Generative AI Innovation Center has developed an AI assistant for generating medical content using language learning models (LLMs). Notably, the assistant can reduce content generation time for disease awareness marketing from weeks to hours. Through automation, users can provide the AI with instructions and comments, allowing editing and control over the generation process.…

Read More

Researchers from the University of Toronto have developed a peptide prediction model that outperforms AlphaFold 2.

Researchers at the University of Toronto’s Donelly Centre have developed a state-of-the-art Artificial Intelligence (AI) model, PepFlow, which accurately predicts the form of peptides. Peptides are smaller molecules made up of amino acids, the essential constituents of proteins. The size and flexibility of peptides allow them to fold into different shapes; the precise shape further…

Read More

Researchers from the University of Toronto have constructed a model for predicting peptides that outperforms AlphaFold 2.

Researchers at the University of Toronto’s Donelly Centre have developed an advanced artificial intelligence (AI) model, known as PepFlow, that can foresee the variety of shapes that peptides can form accurately. The different shapes a peptide can take are vital as they determine how it interacts with different molecules in the body, influencing its biological…

Read More

Blood test empowered by AI demonstrates potential for early detection of Parkinson’s disease.

Scientists from University College London and the University Medical Center Goettingen in Germany have developed an AI-enhanced blood test that can predict Parkinson's disease as far as seven years ahead of symptoms surfacing. This could pave the way for treatments able to slow the progression of the disease, with early detection being a key benefit.…

Read More

Researchers are utilizing AI to expedite the search for treatments for Parkinson’s disease.

A team of researchers at the University of Cambridge has been using artificial intelligence (AI) to expedite the search for new treatments for Parkinson's disease. The AI-based approach has allowed them to screen millions of potential drug compounds and identify promising candidates ten times faster and 1000 times more cost-effectively than traditional methods. Parkinson's is a…

Read More

Scientists have developed “Tyche” to address the ambiguity in medical imaging.

Medical imaging is a sophisticated field within the healthcare industry, with the task of interpreting results posing significant challenges. AI models have been developed to support medical professionals by analyzing images, identifying possible signs of diseases. However, a major drawback of these AI systems is that they typically propose a single solution, even when there…

Read More

Researchers from NYU have developed a revolutionary AI system for speech synthesis.

Researchers from New York University have made significant advances in neural speech decoding, potentially helping individuals who have lost their ability to speak to regain their voice. The study, published in 'Nature Machine Intelligence', presents a deep learning framework that accurately translates brain signals into intelligible speech. This could potentially be used by individuals who…

Read More

AI tool fabricates digital duplicates to forecast future health conditions of patients.

Researchers in the UK have trialed an AI-based tool called Foresight that can create "digital twins" of patients and effectively predict future health conditions and treatment responses. By making use of patient information from electronic health records (EHRs), most of which is unstructured, the AI tool can develop a representative model of the patient. Foresight…

Read More