In this study, we utilized a convolutional neural network (CNN) trained on microscopic images encompassing the SARS-CoV-2 virus, the protozoan parasite “plasmodium falciparum” (causing of malaria in humans), the bacterium “vibrio cholerae” (which produces the cholera disease) and non-infected samples (healthy persons) to effectively classify and predict epidemics. The findings showed promising results in both classification and prediction tasks. We quantitatively compared the obtained results by using CNN with those attained employing the support vector machine. Notably, the accuracy in prediction reached 97.5% when using convolutional neural network algorithms.

The cost of diagnostic errors has been high in the developed world economics according to a number of recent studies and continues to rise. Up till now, a common process of performing image diagnostics for a growing number of conditions has been examination by a single human specialist (i.e., single-channel recognition and classification decision system). Such a system has natural limitations of unmitigated error that can be detected only much later in the treatment cycle, as well as resource intensity and poor ability to scale to the rising demand. At the same time Machine Intelligence (ML, AI) systems, specifically those including deep neural network and large visual domain models have made significant progress in the field of general image recognition, in many instances achieving the level of an average human and in a growing number of cases, a human specialist in the effectiveness of image recognition tasks. The objectives of the AI in Medicine (AIM) program were set to leverage the opportunities and advantages of the rapidly evolving Artificial Intelligence technology to achieve real and measurable gains in public healthcare, in quality, access, public confidence and cost efficiency. The proposal for a collaborative AI-human image diagnostics system falls directly into the scope of this program.

Hybrid learning (HL) has become a significant part of the learning style for the higher education sector in the Sri Lankan context amidst the COVID-19 pandemic and the subsequent economic crisis. This research study aims to discover the effectiveness of hybrid learning (EHL) practices in enhancing undergraduates’ outcomes in Sri Lankan Higher Educational Institutions (HEIs) management faculties. The data for the study were gathered through an online questionnaire survey, which received 379 responses. The questionnaire contained 38 questions under four sections covering independent variables, excluding demographic questions. The results indicate that hybrid learner attitude, interaction, and benefits of hybrid learning positively impact the effectiveness of hybrid learning. The results remain consistent even after controlling for socio-demographic factors and focusing only on students employed during their higher education. The study concluded that employed students have a higher preference for the effectiveness of hybrid learning concepts, and the benefits of hybrid learning play a crucial role in enhancing the effectiveness among undergraduates. The study analyzes COVID-19’s impact on higher education, proposing hybrid learning and regulatory frameworks based on pandemic experiences while stressing the benefits of remote teaching and research.

The purpose of this study is to examine the experiences of project managers working in the distinct environment of clinical trial organizations as project management changes in dynamic labor markets. The literature emphasizes the changing skill set needed for project managers and stresses the value of cognitive flexibility, interpersonal skills, and lifelong learning. Nonetheless, there is still a great deal to learn about how these dynamics appear in the setting of clinical trial organizations. By investigating project managers’ perspectives and involvement in lifetime learning and skill development inside clinical trial organizations, this study seeks to close this gap. To elucidate the nuances of their professional experiences, 64 project managers were interviewed using a qualitative methodology. Key themes emerged from the thematic analysis, including the importance of interpersonal and personal qualities, the dynamic nature of abilities like creativity and critical thinking, and the strategic application of lifelong learning. The findings add new evidence to the body of knowledge by offering a sector-specific understanding of the lifelong learning needs and skill requirements for project managers in clinical trial organizations. The study emphasizes how crucial it is to continuously learn to improve healthcare outcomes and adjust to industry-specific problems. Contextual implications encompass perspectives for entities seeking to maximize training regimens and augment the flexibility of project management groups in clinical trial environments. This work advances theoretical ideas and practical concerns for lifelong learning and skill development in clinical trial organizations. It also adds subtle insights into a specialized domain to the discourse on project management.