Severity of Antipsychotic-Induced Cervical Dystonia Assessed by the Algorithm-Based Rating System.

Background: The severity of antipsychotic-induced cervical dystonia has traditionally been evaluated visually. However, recent advances in information technology made quantification possible in this field through the introduction of engineering methodologies like machine learning.Methods: This study was conducted from June 2021 to March 2023. Psychiatrists rated the severity of cervical dystonia into 4 levels (0: none, 1: minimal, 2: mild, and 3: moderate) for 101 videoclips, recorded from 87 psychiatric patients receiving antipsychotics. The Face Mesh function of the open-source framework MediaPipe was employed to calculate the tilt angles of anterocollis or retrocollis, laterocollis, and torticollis. These were calculated to examine the range of tilt angles for the 4 levels of severity of the different types of cervical dystonia.Results: The tilt angles calculated using Face Mesh for each level of dystonia were 0° ≤ θ < 6° for none, 6° ≤ θ < 11° for minimal, 11° ≤ θ < 25° for mild, and 25° ≤ θ for moderate laterocollis; 0° ≤ θ < 11° for none, 11° ≤ θ < 18° for minimal, 18° ≤ θ <25° for mild, and 25° ≤ θ for moderate anterocollis or retrocollis; and 0° ≤ θ < 9° for none, 9° ≤ θ < 17° for minimal, 17° ≤ θ < 32° for mild, and 32° ≤ θ for moderate torticollis.Conclusion: While further validation with new cases is needed, the range of tilt angles in this study could provide a standard for future artificial intelligence devices for cervical dystonia.

Screening a trace amount of pharmaceutical cocrystals by using an enhanced nano-spot method.

Cocrystallization is an attractive and promising technology that can improve the physical properties of formulations of active pharmaceutical ingredients (APIs). We have developed a "nano-spot method" that can evaluate the crystalline form on the nanogram scale. In this study, the following studies were performed to obtain versatile and comprehensive improvements to the nano-spot method: modification of the sample solution, application of solvent vapor exposure to attempt the precipitation of various states of crystals, and adoption of low-frequency Raman spectroscopy. Carbamazepine was used as a model API and cocrystallization screening was examined with 12 cocrystal formers (coformers). In the case of combinations that are already known to form cocrystals, spectra similar to those of previously reported cocrystals or new spectra were obtained. It was considered that the reported cocrystals or new polymorphs were obtained. In contrast, in the case of the combination which has been reported not to form a cocrystal, the spectra were consistent with that for the physical mixture of API and coformer, suggesting that a cocrystal also did not form in this screening. In addition, the newly adopted low-frequency Raman spectroscopy enabled the high-sensitive detection of the crystalline form.

In situ monitoring of cocrystals in formulation development using low-frequency Raman spectroscopy.

In recent years, to guarantee a quality-by-design approach to the development of pharmaceutical products, it is important to identify properties of raw materials and excipients in order to determine critical process parameters and critical quality attributes. Feedback obtained from real-time analyses using various process analytical technology (PAT) tools has been actively investigated. In this study, in situ monitoring using low-frequency (LF) Raman spectroscopy (10-200 cm-1), which may have higher discriminative ability among polymorphs than near-infrared spectroscopy and conventional Raman spectroscopy (200-1800 cm-1), was investigated as a possible application to PAT. This is because LF-Raman spectroscopy obtains information about intermolecular and/or lattice vibrations in the solid state. The monitoring results obtained from Furosemide/Nicotinamide cocrystal indicate that LF-Raman spectroscopy is applicable to in situ monitoring of suspension and fluidized bed granulation processes, and is an effective technique as a PAT tool to detect the conversion risk of cocrystals. LF-Raman spectroscopy is also used as a PAT tool to monitor reactions, crystallizations, and manufacturing processes of drug substances and products. In addition, a sequence of conversion behaviors of Furosemide/Nicotinamide cocrystals was determined by performing in situ monitoring for the first time.

Ground states of the SU(N) Heisenberg model.

The SU(N) Heisenberg model with various single-row representations is investigated by quantum Monte Carlo simulations. While the zero-temperature phase boundary agrees qualitatively with the theoretical predictions based on the 1/N expansion, some unexpected features are also observed. For N> or =5 with the fundamental representation, for example, it is suggested that the ground states possess exact or approximate U(1) degeneracy. In addition, for the representation of Young tableau with more than one column, the ground state shows no valence-bond-solid order even at N greater than the threshold value.