PH-ILD: Identification, Evaluation, and Monitoring: A Diagnostic View From Both Sides

AbstractThe epichaperome is a new cancer target composed of hyperconnected networks of chaperome members that facilitate cell survival. Cancers with an altered chaperone configuration may be susceptible to epichaperome inhibitors. We developed a flow cytometry-based assay for evaluation and monitoring of epichaperome abundance at the single cell level, with the goal of prospectively identifying patients likely to respond to epichaperome inhibitors, to measure target engagement, and dependency during treatment. As proof of principle, we describe a patient with an unclassified myeloproliferative neoplasm harboring a novel PML-SYK fusion, who progressed to acute myeloid leukemia despite chemotherapy and allogeneic stem cell transplant. The leukemia was identified as having high epichaperome abundance. We obtained compassionate access to an investigational epichaperome inhibitor, PU-H71. After 16 doses, the patient achieved durable complete remission. These encouraging results suggest that further investigation of epichaperome inhibitors in patients with abundant baseline epichaperome levels is warranted.

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Medical artificial intelligence readiness scale for medical students (MAIRS-MS) – development, validity and reliability study

BMC Medical Education ◽

10.1186/s12909-021-02546-6 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Ozan Karaca ◽

S. Ayhan Çalışkan ◽

Kadir Demir

Keyword(s):

Artificial Intelligence ◽

Factor Analysis ◽

Medical Students ◽

Data Science ◽

Factor Model ◽

Health Science ◽

Measurement Tool ◽

Validity And Reliability ◽

Mathematical Concepts ◽

Evaluation And Monitoring

Abstract Background It is unlikely that applications of artificial intelligence (AI) will completely replace physicians. However, it is very likely that AI applications will acquire many of their roles and generate new tasks in medical care. To be ready for new roles and tasks, medical students and physicians will need to understand the fundamentals of AI and data science, mathematical concepts, and related ethical and medico-legal issues in addition with the standard medical principles. Nevertheless, there is no valid and reliable instrument available in the literature to measure medical AI readiness. In this study, we have described the development of a valid and reliable psychometric measurement tool for the assessment of the perceived readiness of medical students on AI technologies and its applications in medicine. Methods To define medical students’ required competencies on AI, a diverse set of experts’ opinions were obtained by a qualitative method and were used as a theoretical framework, while creating the item pool of the scale. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were applied. Results A total of 568 medical students during the EFA phase and 329 medical students during the CFA phase, enrolled in two different public universities in Turkey participated in this study. The initial 27-items finalized with a 22-items scale in a four-factor structure (cognition, ability, vision, and ethics), which explains 50.9% cumulative variance that resulted from the EFA. Cronbach’s alpha reliability coefficient was 0.87. CFA indicated appropriate fit of the four-factor model (χ2/df = 3.81, RMSEA = 0.094, SRMR = 0.057, CFI = 0.938, and NNFI (TLI) = 0.928). These values showed that the four-factor model has construct validity. Conclusions The newly developed Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) was found to be valid and reliable tool for evaluation and monitoring of perceived readiness levels of medical students on AI technologies and applications. Medical schools may follow ‘a physician training perspective that is compatible with AI in medicine’ to their curricula by using MAIRS-MS. This scale could be benefitted by medical and health science education institutions as a valuable curriculum development tool with its learner needs assessment and participants’ end-course perceived readiness opportunities.

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Dynamics and Branch Structure of Water Consumptions in the Republic of Moldova

Present Environment and Sustainable Development ◽

10.1515/pesd-2017-0036 ◽

2017 ◽

Vol 11 (2) ◽

pp. 187-201 ◽

Cited By ~ 1

Author(s):

Bacal Petru ◽

Burduja Daniela

Keyword(s):

Economic Analysis ◽

Water Use ◽

River Basins ◽

Economic Research ◽

Republic Of Moldova ◽

Structure Of Water ◽

Existing Problems ◽

Management Plans ◽

The Republic ◽

Evaluation And Monitoring

Abstract The purpose of this research consists in the elucidation of spatial and branch aspects of the water use in the river basins of Republic of Moldova. The main topics presented in this paper are: 1) the dynamics of water use; 2) spatial and branch profile of water use and its dynamics: 3) existing problems in the evaluation and monitoring of water use. To achieve these objectives were used traditional methods of geographical and economic research. Also, the content of the present study is focused on the methodology to elaborate the management plans of hydrographical basins and their chapters on economic analysis of water use in the river basin. of Republic of Moldova.

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