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The purpose of this paper is to illuminate the ethical concerns associated with the use of artificial intelligence (AI) in the medical sector and to provide solutions that allow deriving maximum benefits from this technology without compromising ethical principles.

This paper provides a comprehensive overview of AI in medicine, exploring its technical capabilities, practical applications, and ethical implications. Based on our expertise, we offer insights from both technical and practical perspectives.

The study identifies several advantages of AI in medicine, including its ability to improve diagnostic accuracy, enhance surgical outcomes, and optimize healthcare delivery. However, there are pending ethical issues such as algorithmic bias, lack of transparency, data privacy issues, and the potential for AI to deskill healthcare professionals and erode humanistic values in patient care. Therefore, it is important to address these issues as promptly as possible to make sure that we benefit from the AI’s implementation without causing any serious drawbacks.

This paper gains its value from the combined practical experience of Professor Elhassan gained through his practice at top hospitals worldwide, and the theoretical expertise of Dr. Arabi acquired from international institutes. The shared experiences of the authors provide valuable insights that are beneficial for raising awareness and guiding action in addressing the ethical concerns associated with the integration of artificial intelligence in medicine.

There are several infectious agents in the environment that can cause persistent infections in the host. They usually cause their symptoms shortly after first infection and later persist as silent viruses and bacteria within the body. However, these chronic infections may play an important role in the pathogenesis of schizophrenia and Tourette's syndrome (TS). We investigated the distribution of different neurotrophic infectious agents in TS, schizophrenia and controls. A total of 93 individuals were included (schizophrenic patients, Tourette patients and controls). We evaluated antibodies against cytomegalovirus (CMV), herpes-simplex virus (HSV), Epstein-Barr virus, Toxoplasma, Mycoplasma and Chlamydia trachomatis/pneumoniae. By comparing schizophrenia and TS, we found a higher prevalence of HSV (P=0.017) and CMV (P=0.017) antibodies in schizophrenic patients. Considering the relationship between schizophrenia, TS and healthy controls, we showed that there are associations for Chlamydia trachomatis (P=0.007), HSV (P=0.027) and CMV (P=0.029). When all measured viruses, bacteria and protozoa were combined, schizophrenic patients had a higher rate of antibodies to infectious agents than TS patients (P=0.049). Tourette and schizophrenic patients show a different vulnerability to infectious agents. Schizophrenic patients were found to have a higher susceptibility to viral infections than individuals with TS. This finding might point to a modification in special immune parameters in these diseases.

This study examines the osteoconductive and healing capabilities of locally implanted synthetic hydroxyapatite (sHAp) derived from eggshells in the central incisor sockets of rats.

Toxicity experiments were conducted in vitro and in vivo, to testify the safety dosage of sHAp. Around 24 mature male Sprague–Dawley (SD) rats had their upper central incisors extracted. The rats were placed into three groups of eight rats each: Group 1: the sockets of extracted central incisors were left unfilled (control), Group 2: filled up with commercially available hydroxyapatite (HAp) and Group 3: implanted with sHAp locally retrieved from eggshells. After extraction, four rats from each group were sacrificed at 2nd and 4th weeks. Maxillary tissue sections were obtained and stained with hematoxylin and eosin (H&E) and Masson’s trichome (MT) staining. Anti-osteocalcin (OCN) and proliferating cell nuclear antigen (PCNA) were used primary antibodies for immunohistochemistry (IHC) special labeling.

The results showed that the locally implanted sHAp was non-toxic and safe in cell lines (human osteoblast and fibroblast) and animals. Histological analysis of H&E, MT and IHC showed that the sockets treated with locally implanted sHAp from eggshells were filled with new bone tissue of comparable thickness to other groups.

This unique technique uses locally implanted eggshell-derived sHAp with osteoconductive characteristics. In an in vivo model, sHAps increased OCN and PCNA expression to improve bone repair.

In 2017, the opioid epidemic was declared a public health emergency in the United States. The federal and state governments are still struggling to contain the crisis through various legislations and to stem the tide of overdoses and deaths. This paper looks specifically at the issue of high prescriptions of opioids disbursed to patients by physicians.

This paper evaluates this evolving policy issue through a critical review and synthesis of academic literature, government policy documents (at states and national levels) and articles in the popular press.

Over-prescription is a legal problem because it inevitably leads to diversion of these substances for non-medical usage. The Prescription Drug Monitoring Program (PDMP) laws have been passed by all 50 states and the main policy responses are covered. However, there are hindrances to their effectiveness, which have to be addressed. Two state level policy alternatives are discussed as potential solutions — PDMP mandates and Pain Management Clinic Laws (PMCLs). After a comparative evaluation, it is recommended that all states should pass the mandatory PDMP review and usage laws urgently.

This is the first detailed policy evaluation on the specific and time-sensitive aspect of physician over-prescribing, within the larger opioid abuse problem. Moreover, critique on the public health leadership issue is raised.

This paper aims to construct a process model of business founding in the biotech industry.

An inductive method is used, and five case studies analyzed. Data are coded by applying Gioia’s method.

Aspirant entrepreneurs conduct resource analysis and industry analysis to formulate research and development targets. They perform transactions and networks because they require resources, and they then deploy and coordinate these resources. Such coordination generates activities with social and financial impacts.

The results are specific to the biotech industry. A future study could examine business founding processes in other industries (e.g. entertainment, fashion, public utilities and sport). Additionally, the paper argues that during the founding process entrepreneurs show little concern for knowledge-sharing risk, as they want to collaborate to implement their ideas. Quantitative papers could test the consequences of such behavior.

The process model provides insights into aspirant founders on how to start a business in the biotech industry.

The paper shows: the differences between the founding process in the biotech industry versus other industries; and the shape of the Bower–Burgelman model in the context of biotech business founding. The paper delineates how private companies discover competencies in the public sector; a model of technology transfer from public to private sector; entrepreneurs’ absence of risk perceptions regarding knowledge-sharing during founding; and how conferences can serve as vehicles for benchmarking in networking.

This chapter explores the norms and assumptions that frame and sustain international drug policy and the international drug control regime. Drug policy is conceptualised as a ‘policy fiasco’ that persists despite extensive evidence of goal failure. The absence of effective monitoring and evaluation, impact assessment, stakeholder participation and mainstreaming of rights-based approaches, conflict sensitivity and gender sensitivity is emphasised, substantiating the argument that drug policy is a case study of ‘institutional path dependence’. Drug policy has repeatedly missed targets for achievement of a ‘drug free world’. This is explained through reference to the counterproductive and ‘unintended consequences’ of a drug policy approach of criminalisation. The impacts of drug policy enforcement are shown to be negative, pernicious and disproportionately born by the poor, by vulnerable communities and those subject to discrimination on account of race, gender and class.

This study aimed to assess the potential of the Clinical Dementia Rating (CDR) Scale in the prognosis of dementia in elderly subjects.

Dementia staging severity is clinically an essential task, so the authors used machine learning (ML) on the magnetic resonance imaging (MRI) features to locate and study the impact of various MR readings onto the classification of demented and nondemented patients. The authors used cross-sectional MRI data in this study. The designed ML approach established the role of CDR in the prognosis of inflicted and normal patients. Moreover, the pattern analysis indicated CDR as a strong cohort amongst the various attributes, with CDR to have a significant value of p < 0.01. The authors employed 20 ML classifiers.

The mean prediction accuracy varied with the various ML classifier used, with the bagging classifier (random forest as a base estimator) achieving the highest (93.67%). A series of ML analyses demonstrated that the model including the CDR score had better prediction accuracy and other related performance metrics.

The results suggest that the CDR score, a simple clinical measure, can be used in real community settings. It can be used to predict dementia progression with ML modeling.