In a post-pandemic world, South Korean molecular diagnostics firm Seegene Inc. is looking to ignite a new paradigm in the diagnostics business. Seoul-based Seegene is rolling out a new strategy of open innovation under its newfound initiative coined the “SG Onesystem,” which pledges to not only accelerate global partnerships for novel diagnostics but also “free the world of all disease.”

A new study published by researchers from the Tokyo University of Science (TUS) unveiled a new machine learning-aided, non-invasive imaging framework for rapid liver lipid visualization, which could help diagnose and treat steatotic liver diseases (SLD).

The U.S. FDA’s device center has at times struggled to make the volume of hires under the reigning Medical Device User Fee Agreement (MDUFA), but that wasn’t a problem in fiscal year 2023.

In a post-pandemic world, South Korean molecular diagnostics firm Seegene Inc. is looking to ignite a new paradigm in the diagnostics business. Seoul-based Seegene is rolling out a new strategy of open innovation under its newfound initiative coined the “SG Onesystem,” which pledges to not only accelerate global partnerships for novel diagnostics but also “free the world of all disease.”

A team of inventors predominantly based in the state of New York are seeking patent protection for an earbud system that integrates real-time electroencephalography (EEG) monitoring with audio playback. Using specialized silicone electrodes, it captures and interprets EEG data, serving as a passive and continuous tool for screening neurological conditions.

Researchers have reported that the predictive abilities of a machine learning algorithm trained using best practices on a large clinical dataset did not generalize beyond the data that was used to train it. The algorithm was able to predict, to a degree, which individual patients would benefit from the medication when the patients were from the dataset the algorithm was trained on. But when it was supposed to predict who would benefit in clinical cohorts that were not part of the training, it performed no better than chance.

Researchers have reported that the predictive abilities of a machine learning algorithm trained using best practices on a large clinical dataset did not generalize beyond the data that was used to train it.

In what represents the first patenting from Immersive Reality Group LLC, the company’s co-founders describe their Intellighealth system for detecting the early onset of respiratory diseases using artificial intelligence and wearable remote health monitoring technologies.

The first patenting from Mhealthcare Inc. describes a patient examination table or bed equipped with a variety of sensors, data from which may be analyzed with trained machine learning models to facilitate risk assessment and diagnosis of non-neurotypical developmental conditions such as autism in infants and young children by predicting cognitive, behavioral, social and developmental outcomes as early as the first three months of life. It is also claimed that the table may be used to diagnose epilepsy and Alzheimer’s disease.

If we unraveled the DNA of the 46 chromosomes of a single human cell, it would barely measure 2 meters. If we did the same with the rest of the body, if we aligned the 3 billion base pairs of its 5 trillion cells, we could travel the distance from the Earth to the Sun more than 100 times. It seems unreachable. However, that is the unit of knowledge of the large sequencing projects achieved in 2023.