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Categories: Engineering: Biometric, Mathematics: Statistics

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Novel software for grouping immunological T-cell receptors may enable the identification of shared patterns that could be used to determine if a person has previously been infected or vaccinated against a given pathogen.

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Experts have developed a unique method for retrieving high resolution images of fingermarks from curved objects like bullet casings that offers greater detail and accuracy than traditional forensic methods.

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To counter hacking, researchers have developed a new system based on the concept of 'zero-knowledge proofs', the security of which is based on the physical principle of relativity: information cannot travel faster than the speed of light. Thus, one of the fundamental principles of modern physics allows for secure data transfer.

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By observing how strange particles called anyons dissipate heat, researchers have shown that they can probe the properties of these particles in systems that could be relevant for topological quantum computing.

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Researchers report that the way a tissue's cells are arranged can serve as a fingerprint for the tissue's 'phase' -- whether it is more like a solid, liquid, or gas. For example, tumors that are more solid may be relatively stable, whereas more fluid-like growths could be more prone to mutate and metastasize.

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Uses of facial images and facial recognition technologies -- to unlock a phone or in airport security -- are becoming increasingly common in everyday life. But how do people feel about using such data in healthcare and biomedical research?

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Scientists are using a new mathematical tool to predict how combinations of genetic mutations cause different types of tumors.

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Mathematical modeling of disease spread suggests that herd immunity could be achieved with fewer vaccine doses by using Bluetooth-based contact-tracing apps to identify people who have more exposure to others -- and targeting them for vaccination.

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Archaeologists have long had a dating problem. The radiocarbon analysis typically used to reconstruct past human demographic changes relies on a method easily skewed by radiocarbon calibration curves and measurement uncertainty. And there's never been a statistical fix that works -- until now.

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A novel chip automates the reaction cascades occurring between molecules inside DNA to carry out complex mathematical calculations.

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The COVID-19 pandemic may be the deadliest viral outbreak the world has seen in more than a century. But statistically, such extreme events aren't as rare as we may think, asserts a new analysis of novel disease outbreaks over the past 400 years. A newly assembled record of past outbreaks was used to estimate the probability of a pandemic with similar impact to COVID-19 is about 2 percent in any year. And that probability is growing.

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A new method could lead to more accurate predictions of how new materials behave at the atomic scale.

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Researchers have modeled COVID-19 completion versus cessation in clinical trials using machine learning algorithms and ensemble learning.

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A major challenge in cancer therapy is the adaptive response of cancer cells to targeted therapies. Although this adaptive response is theoretically reversible, such a reversal is hampered by numerous molecular mechanisms that allow the cancer cells to adapt to the treatment. A team has used information theory, in order to objectify in vivo the molecular regulations at play in the mechanisms of the adaptive response and their modulation by a therapeutic combination.

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The Glasgow Face Matching Test has been updated to find super-recognizers who can help prevent errors caused by face recognition software.

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Engineers have developed an integrated circuit that can carry out complicated artificial-intelligence operations like face, voice and gesture recognition and cardiac monitoring. Powered by either a tiny battery or a solar panel, it processes data at the edge and can be configured for use in just about any type of application.

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It may only be a matter of time until the growing problem of 'deep fakes' converges with geographical information science (GIS). A research team are doing what they can to get ahead of the problem.

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Researchers have developed a plasmofluidic chip that can perform PCR in only about 8 minutes, which could speed diagnosis during current and future pandemics.

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Computational tools are indispensable in almost all scientific disciplines. Especially in cases where large amounts of research data are generated and need to be quickly processed, reliable, carefully developed software is crucial for analyzing and correctly interpreting such data. Nevertheless, scientific software can have quality quality deficiencies. To evaluate software quality in an automated way, computer scientists have designed the SoftWipe tool.

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Researchers have developed a new software tool to detect, evaluate and quantify off-target editing activity, including adverse translocation events that can cause cancer. The software is based on input taken from a standard measurement assay, involving multiplexed PCR amplification and Next-Generation Sequencing (NGS).