Artificial Intelligence (AI)

Epigenetic Biosignature of First-Episode Schizophrenia Identified via Machine Learning (2024)

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A new study uses AutoML and blood DNA methylation data to identify novel gene biomarkers for diagnosing schizophrenia (SCZ) with high accuracy. Highlights: Biomarker Discovery: AutoML identified three schizophrenia-specific gene methylation biomarkers: IGF2BP1, CENPI, and PSME4. Methylation Analysis: IGF2BP1 showed higher methylation and PSME4 showed lower methylation in SCZ patients compared to healthy controls, while …

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Advances in Electrical Neural Interfaces for Brain Augmentation & Neuroscience Research

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Electrical neural interfaces are unlocking new possibilities for studying, restoring, and augmenting brain functions. These devices provide direct communication pathways to connect the nervous system with the external world. Recent innovations in neural electrode design, electronics, wireless transmission, integration of electrical and optical modalities, and neural data processing are rapidly advancing the capabilities of electrical …

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Brain Machine Interfaces: Progress, Applications, Ethical Considerations

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Brain-machine interfaces (BMIs) are emerging devices that connect the human brain to computers and machines, enabling an unprecedented two-way flow of information and control. BMIs offer extraordinary new capabilities but also present profound ethical dilemmas we must confront. Key Facts: BMIs acquire brain signals, analyze them via algorithms, and translate them into commands that control …

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Brain Scans of Criminal Suspects & Privacy Rights: Coercive MRIs for Investigations?

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New neuroimaging technologies are rapidly advancing our ability to examine the brain, revealing information about our memories, thoughts and even intentions. As these technologies improve, some are advocating for their use in criminal investigations and legal proceedings. But could mandatory brain scans used on suspects violate privacy rights? Key Facts: Neuroimaging technologies like MRI, CT, …

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AI Algorithm Predicts Criminal Faces with ~90% Accuracy

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A 2016 study exploring whether machine learning can accurately predict criminality based solely on facial images has sparked debate on the social implications of such technology. The research, conducted by Chinese academics Xiaolin Wu and Xi Zhang, claims to be the first of its kind in using automated face recognition to categorize criminals versus non-criminals. …

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Physiognomy & Human Look-Alikes: Shared Genetics in Dopplegangers

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Researchers have uncovered new insights into the genetic underpinnings of human facial likeness and physical similarity in an intriguing nature versus nurture study on real-life look-alike pairs. Key Findings: 50% of look-alike pairs studied shared high genetic similarity, despite being unrelated Over 19,000 SNPs were identified that were shared across genetically similar look-alike pairs These …

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Neuralink Brain-Machine Interface: High-Bandwidth Connection to Neurons?

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Neuralink, a neurotechnology company founded by Elon Musk, has developed a novel brain-machine interface system with unprecedented electrode density and bandwidth. In a recent white paper, Neuralink scientists describe their progress towards a scalable, high-performance implantable device for interfacing with the brain. The key facts: Neuralink’s device has over 3,000 electrodes per array, an order …

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Rewiring the Brain with Precision: Future Neuromodulation Tactics

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Neuromodulation techniques that stimulate the nervous system through electric current are revolutionizing the treatment of neurological and psychiatric disorders like depression, movement disorders, and chronic pain. These techniques allow for precisely targeted treatment of specific brain regions. Key facts: Neuromodulation techniques include invasive methods like deep brain stimulation (DBS) as well as non-invasive methods like …

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Artificial Intelligence (AI) Biases Influence Human Judgment & Decision Making

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Artificial intelligence systems are increasingly being used to assist professionals like doctors and judges make important decisions that impact human lives. However, these AI systems are prone to biases that can lead to systematic errors. A new set of experiments reveals that biases in AI systems can negatively influence the decisions of the humans relying …

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New AI Eye-Tracking Technology for Rapid Depression Diagnosis

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Depression is a growing mental health concern, especially among young adults. New AI-powered research offers a rapid, objective screening tool to identify those at high risk using eye tracking technology. This innovative approach could revolutionize early detection and intervention. Key Facts: Depression is the leading cause of disability worldwide, often starting in young adulthood. Early …

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