Personalized and Precision Medicine Journal

Abstract Artificial Intelligence (AI) is profoundly transforming healthcare, with its impact becoming increasingly evident across various medical disciplines. The most promising and novel applications of AI are found in anesthesiology, where it is enhancing patient safety, clinical decision-making, and individualized care practices. Anesthesiologists face the complex task of maintaining anesthetic stability throughout surgical procedures, where even variations in patient parameters can lead to adverse outcomes. In this context, AI is emerging as a powerful tool that enhances the precision and effectiveness of anesthetic operations.
The function of AI in anesthesiology includes several essential areas, such as improving operating room safety and tailoring medication dosages to the specific needs of individual patients. AI systems employ advanced machine learning algorithms to examine vast data from real-time physiological monitoring devices, such as heart rate, blood pressure, oxygen saturation, and respiratory rate. These devices can detect subtle changes in vital signs, providing early warnings of potential outcomes and supplying clinicians with evidence-based treatment alternatives.
Moreover, AI is substantially enhancing the personalization of anesthetic administration. By evaluating patient-specific characteristics, including demographics, medical history, and genetic predispositions, AI systems can predict optimal medication dosages, mitigating risks of under- or overdose and enhancing recovery times. Furthermore, AI-driven predictive analytics can forecast patient-specific risks, including the likelihood of adverse reactions or postoperative complications, allowing anesthesiologists to execute preventive measures.
This research aims to analyze the various ways in which AI is enhancing anesthesiology, encompassing sophisticated monitoring systems, predictive tools, and personalized treatment strategies. The advancement of AI significantly enhances anesthetic treatments, promising safer, more efficient, and highly tailored patient care in both surgical and non-surgical contexts.

Abstract Background:
Multidrug-resistant (MDR) bacteria, including Acinetobacter baumannii, have increased in healthcare systems, particularly in the Middle East. This bacterium is notoriously resistant to various medications, complicating disease therapy. The proliferation of XDR bacteria and the decline of effective antibiotics threaten patient safety and healthcare efficiency.
Objectives:
This study addresses the issues associated with MDR Acinetobacter baumannii in hospitals, especially in the Middle East. It examines the bacterium's epidemiology, molecular resistance mechanisms, clinical problems, and innovative treatment approaches. The research employs novel epidemiological data, molecular insights, and enhanced infection control strategies to comprehend the evolution of this issue and its management.
Methods:
We conducted a comprehensive study by searching PubMed, Scopus, and Web of Science for research published from 2010 to 2024. The investigation identified Middle Eastern research regarding the prevalence, resistance mechanisms, clinical care, and patient outcomes of MDR Acinetobacter baumannii. This study offers a comprehensive perspective on the escalating threat posed by this disease and its ramifications for regional healthcare professionals through the integration of qualitative and quantitative data.
Results:
Carbapenem-resistant Acinetobacter baumannii is common in 60–70% of Middle Eastern intensive care units and kills 40–50%. OXA-type carbapenemases, ESBLs, MBLs, efflux pump overexpression, target site changes, and biofilm formation make the bacterium resistant. We also found novel resistance determinants including bla_OXA-235 and regulatory gene alterations like adeRS. Overcrowded hospitals, long stays, antibiotic overuse, and poor infection control aggravate this issue. However, these issues are being fixed. Modern molecular diagnosis, ultraviolet disinfection, and genetic surveillance reduce these diseases.
Conclusions:
Increasing MDR Acinetobacter baumannii prevalence in the Middle East presents a difficult challenge that requires a coordinated, multidisciplinary approach. This pathogen's hazards can be reduced by improved antimicrobial stewardship, infection control, regional surveillance, and therapeutic development.

Abstract Hysterectomy, the surgical excision of the uterus, has historically been fundamental in the management of gynecologic malignancies, encompassing endometrial, cervical, and ovarian cancers. Traditionally, hysterectomy has been executed via open abdominal surgery, a method that, although efficacious, frequently leads to extended recovery periods, heightened risk of complications, and greater psychological and physical strain for patients. In recent decades, substantial breakthroughs in surgical techniques and technology have fundamentally transformed the approach to these treatments, resulting in enhanced clinical outcomes, diminished complications, and expedited recovery periods. This study examines recent advancements in hysterectomy techniques, particularly highlighting the rise of minimally invasive approaches, including laparoscopic, robotic-assisted, and vaginal hysterectomy. These methods, characterized by smaller incisions and improved vision, are linked to many benefits, such as less blood loss, abbreviated hospital stays, and expedited resumption of normal activities. Furthermore, we examine the technical innovations that have significantly enhanced surgical precision, including 3D imaging, intraoperative molecular imaging, and real-time navigation systems.
These innovations have not only enhanced the effectiveness of treatment but have also contributed to a better overall quality of life for patients by reducing postoperative pain, minimizing scarring, and offering quicker recovery. Moreover, the psychological and emotional strains associated with cancer surgery, such as anxiety and body image concerns, are mitigated by less invasive techniques, resulting in enhanced patient satisfaction. Through this comprehensive analysis, the review highlights the transformative role of these technological and surgical advancements in gynecologic cancer treatment. These advancements enhance the precision and results of hysterectomy, reducing the long-term physical and psychological difficulties typically linked to cancer procedures, ultimately leading to improved treatment experiences and increased survival rates.

Abstract Chancroid is an STI characterized by the Gram-negative bacteria Haemophilus ducreyi. Controlling chancroid is challenging, and the primary treatment accessible is antimicrobial therapy. However, drug resistance has been seen in places where the disease is common. Due to recent global outbreaks of sexually transmitted infections (STIs), it is crucial to continue researchi ng innovative treatment options and prevention measures. We used reverse vaccinology and subtraction genomic methods to determine potential vaccination and therapeutic targets against H. ducreyi in silico. We found 56 Secreted proteins, with 159 membrane molecules and 515 cytoplasmic proteins. We assessed their need, operation, and ability to cause disease. We identified 6 potential vaccination targets and three pharmacological targets inside pathogenicity islands. The discovered targets may be utilized in future initiatives to manage chancroid globally.