Development and validation of machine learning model for predicting treatment responders in patients with primary biliary cholangitis.

AIMS: Ursodeoxycholic acid is the first-line treatment for primary biliary cholangitis, and treatment response is one of the factors predicting the outcome. To prescribe alternative therapies, clinicians might need additional information before deciphering the treatment response to ursodeoxycholic acid, contributing to a better patient prognosis. In this study, we developed and validated machine learning (ML) algorithms to predict treatment responses using pretreatment data. METHODS: This multicenter cohort study included collecting datasets from two data samples. Data 1 included 245 patients from 18 hospitals for ML development, and was divided into (i) training and (ii) development sets. Data 2 (iii: test set) included 51 patients from our hospital for validation. An extreme gradient boosted tree predicted the treatment response in the ML model. The area under the curve was used to evaluate the efficacy of the algorithm. RESULTS: Data 1 showed that patients complying with the Paris II treatment response had significantly lower serum alkaline phosphatase and total bilirubin levels than those who did not respond. Three factors, total bilirubin, total protein, and alanine aminotransferase levels were selected as essential variables for prediction. Data 2 showed that patients complying with the Paris II criteria had significantly high prothrombin time and low total bilirubin levels. The area under the curve of extreme gradient boosted tree was good for (ii) (0.811) and (iii) (0.856). CONCLUSIONS: We demonstrated the efficacy of ML in predicting the treatment response for patients with primary biliary cholangitis. Early identification of cases requiring additional treatment with our novel ML model may improve prognosis.

Hybrid polarization grating for mode detection of vector beams.

A hybrid polarization grating that can spatially separate orthogonal states of a vector beam with the same polarization topological charge is presented. The hybrid polarization grating is assembled using a fork-shaped polarization grating and a quarter-wave polarization grating and acts as a common pass interferometer for right- and left-circular polarization components of incident vector beams. The hybrid polarization grating can separate two vector beam states that have a 90 ° relative polarization azimuth angle difference. The number of detectable vector beams can be increased by replacing the hybrid polarization grating with a crossed-hybrid polarization grating. Device feasibility was demonstrated experimentally using hybrid polarization grating and crossed-hybrid polarization grating fabricated using the photoalignment method for photoreactive liquid crystals. This approach has the potential to demultiplex several vector beams stably and simultaneously using a compact optical system and should be applicable to vector beam division multiplexing and other applications requiring vector beam detection.

Craving for Gambling Predicts Income-Generating Offenses: A Pathways Model of a Japanese Prison Population.

The links between gambling and criminal offenses have been frequently reported, but the pathways from gambling to a particular offense have not. Our study applied a pathways model to predict participants' income-generating, drug-related, and violent offenses stemming from their craving for gambling. The participants were 332 male inmates in a Japanese local prison. They answered questionnaires on gambling behavior, alcohol addiction, Internet addiction, impulsivity, and psychopathy. Their official records with information on their current offense, sentence length, number of imprisonments, and length of education were also analyzed. The results show that 38.55% (n = 128) of the participants had a probable gambling disorder, a rate of problem gambling at least four times higher than that among the general Japanese population. Furthermore, their craving for gambling predicted their income-generating offenses, but not their drug-related and violent offenses. Their craving for gambling can thus be linked to their financial issues, rather than their emotional and impulsive issues. The pathways model explained the path not only from addiction/psychopathy to gambling, but also from gambling to committing an income-generating offense.

[65 years old man of chronic inflammatory demyelinating polyneuritis (CIDP) which presented radicular swelling and was able to confirm image progress before the onset].

The case is a 65 years old man. He noticed muscle weakness of lower limbs from 3 years ago. Dysesthesia was developed, He came in our hospital in X year. He was detected muscle weakness, sensory disturbance in distal lower limbs predominance and detected radicular significant swelling in spinal cord MRI and diagnosed it with chronic inflammatory demyelinating polyneuritis (CIDP). In the follow-up purpose of other diseases regularly, it was confirmed that nerve root was gradually swelling from around 7 years before the onset. The radicular swelling is one of the characteristics in CIDP, supports the diagnosis. This case was the valuable case that was able to chase image progress before the onset.