RESUMEN

In the dynamic realm of healthcare, the convergence of engineering and biomedical sciences has emerged as a pivotal frontier. In this review we go into specific areas of innovation, including medical imaging and diagnosis, developments in biomedical sensors, and drug delivery systems. Wearable biosensors, non-wearable biosensors, and biochips, which include gene chips, protein chips, and cell chips, are all included in the scope of the topic that pertains to biomedical sensors. Extensive research is conducted on drug delivery systems, spanning topics such as the integration of computer modeling, the optimization of drug formulations, and the design of delivery devices. Furthermore, the paper investigates intelligent drug delivery methods, which encompass stimuli-responsive systems such as temperature, redox, pH, light, enzyme, and magnetic responsive systems. In addition to that, the review goes into topics such as tissue engineering, regenerative medicine, biomedical robotics, automation, biomechanics, and the utilization of green biomaterials. The purpose of this analysis is to provide insights that will enhance continuing research and development efforts in engineering-driven biomedical breakthroughs, ultimately contributing to the improvement of healthcare. These insights will be provided by addressing difficulties and highlighting future prospects.

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• Integration of engineering into diagnostics leads to early disease detection through medical imaging.• Biosensors offer cost-effective, simple, and reliable early detection of abnormal health parameters. A smart drug delivery system requires fewer drugs compared to conventional methods.• Use of natural materials will enhance the biocompatibility of nanomaterials.• Nanomaterial enhanced tissue regeneration.

Asunto(s)

Ingeniería Biomédica , Sistemas de Liberación de Medicamentos , Humanos , Ingeniería Biomédica/métodos , Ingeniería Biomédica/tendencias , Técnicas Biosensibles/métodos , Ingeniería de Tejidos/métodos , Ingeniería de Tejidos/tendencias , Atención a la Salud/tendencias , Dispositivos Electrónicos Vestibles/tendencias , Medicina Regenerativa/métodos

RESUMEN

Squamous cells in the cervix can develop into a type of cervical cancer. Cervical squamous cells are the cells that line the outside of the cervix. These thin, flat cells have a striking resemblance to fish scales under a microscope. Squamous cell carcinomas (SCCs) are the most common type of cervical cancer. We report the case of a 60-year-old woman with SCC devoid of a family history of cancer or related diseases. Following a biopsy confirming SCC, the patient's contrast-enhanced computed tomography scan revealed a somewhat enlarged cervix along with a white discharge per vagina. The patient underwent a Wertheim hysterectomy and was diagnosed with microinvasive SCC, adenomyosis, and negative lymph nodes. Two years after being free from disease, the issue reappeared even with routine follow-ups. The patient underwent six rounds of chemotherapy, followed by chemoradiation and interstitial brachytherapy. The multimodality therapy method applied to an aged female patient experiencing recurrent SCC of the cervix is demonstrated in this case study. It underlines how crucial regular follow-ups and multimodal therapy are to control recurrent cervical cancer.

RESUMEN

Budd-Chiari syndrome (BCS) is a scarce but severe condition characterized by the obstruction of the hepatic veins, liver congestion, and consequent damage. This series brings up one unusual presentation of BCS associated with autoimmune hemolytic anemia (AIHA), immune thrombocytopenic purpura (ITP), and lupus nephritis (LN), which collectively complicate the clinical scenario. This is a 19-year-old woman who was admitted for abdominal pain, hepatomegaly, ascites, and jaundice. Her history included the diagnosis of systemic lupus erythematosus. Laboratory findings revealed hemolytic anemia, thrombocytopenia, and impaired renal function. Imaging investigations were done to prove the diagnosis of BCS. The patient's complex autoimmune profile, characterized by the simultaneous presence of AIHA and ITP with LN, underlined the multifaceted nature of her condition. This case underscores the diagnostic and therapeutic challenges posed by the co-existence of BCS with AIHA, ITP, and LN, highlighting the critical role of a multidisciplinary approach in managing such complex cases effectively. Timely diagnosis and targeted treatment strategies are essential for improving outcomes in these patients.

RESUMEN

The case report details the adaptive radiotherapy management of a 75-year-old female diagnosed with high-grade endometrial carcinoma. The patient, who was known to be hypertensive with no other comorbidities and no family history of cancer, presented with a complaint of bleeding per vagina for six months. Following extensive investigations, she underwent a laparoscopic radical hysterectomy. Postoperative histopathology confirmed endometrial adenocarcinoma International Federation of Gynecology and Obstetrics (FIGO) stage IA, grade III. The adjuvant treatment plan included adjuvant chemoradiotherapy to the postoperative tumor bed and draining lymph nodes. On planning computed tomography (CT), the patient's lymphocele responded remarkably to radiation therapy, an unusual outcome that underscores the potential efficacy of adaptive radiotherapy in complex cases.

RESUMEN

Osteoid osteoma (OO) is a common benign ossifying lesion that is most prevalent among youth. Usually, it attacks the diaphyseal or metaphyseal bones that are tubular. The common hallmark of muscle pain is the reported occurrence of night pain that is nearly always present, yields satisfactory responses from nonsteroidal anti-inflammatory medications, and may be joined by complaints regarding physical activities. Also, it shows typical signs of study procedures like computed tomography (CT) and magnetic resonance imaging (MRI). A nidus, which is the primary marker in the diagnostic formation of shadowed images, is a crucial sign of an OO. This source is usually portrayed as an oval lytic lesion, measuring 1 cm flat and surrounded by a region of reactive ossification. It is laborious to diagnose OO since the condition is frequently confused with many other ones, and testing and therapy may be delayed and complicated as a result. There are still few studies on OO diagnosis and distinguishing of surrogate conditions. Unfortunately, either ablation or resection can be said to be the cure. Improved detection of OO shows the possibility for prompt diagnosis, fewer patient discomfort and side effects, less cost involved in unnecessary treatments, and a rightly diagnosed condition.

RESUMEN

Artificial intelligence (AI) has rapidly evolved and demonstrated its potential in transforming biomedical cancer research, offering innovative solutions for cancer diagnosis, treatment, and overall patient care. Over the past two decades, AI has played a pivotal role in revolutionizing various facets of cancer clinical research. In this comprehensive review, we delve into the diverse applications of AI across the cancer care continuum, encompassing radiodiagnosis, radiotherapy, chemotherapy, immunotherapy, targeted therapy, surgery, and nanotechnology. AI has revolutionized cancer diagnosis, enabling early detection and precise characterization through advanced image analysis techniques. In radiodiagnosis, AI-driven algorithms enhance the accuracy of medical imaging, making it an invaluable tool for clinicians in the detection and assessment of cancer. AI has also revolutionized radiotherapy, facilitating precise tumor boundary delineation, optimizing treatment planning, and enabling real-time adjustments to improve therapeutic outcomes while minimizing collateral damage to healthy tissues. In chemotherapy, AI models have emerged as powerful tools for predicting patient responses to different treatment regimens, allowing for more personalized and effective strategies. In immunotherapy, AI analyzes genetic and imaging data to select ideal candidates for treatment and predict responses. Targeted therapy has seen great advancements with AI, aiding in the identification of specific molecular targets for tailored treatments. AI plays a vital role in surgery by offering real-time navigation and support, enhancing surgical precision. Moreover, the synergy between AI and nanotechnology promises the development of personalized nanomedicines, offering more efficient and targeted cancer treatments. While challenges related to data quality, interpretability, and ethical considerations persist, the future of AI in cancer research holds tremendous promise for improving patient outcomes through advanced and individualized care.

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Robotic applications have often quickly transitioned from industrial to social. Because of this, robots can now engage with people in a natural way and blend in with their surroundings. Due to the lack of medical professionals, growing healthcare costs, and the exponential rise in the population of vulnerable groups like the ill, elderly, and children with developmental disabilities, the use of social robots in the healthcare system is expanding. As a result, social robots are employed in the medical field to entertain and educate hospitalized patients about health issues, as well as to assist the elderly and sick. They are also employed in the dispensing of medications, rehabilitation, and emotional and geriatric care. Thus, social robots raise the standard and effectiveness of medical care. This article explains how patients and healthcare professionals collaborate with robots in the healthcare industry. The objectives of this collaboration are to resolve moral and legal concerns, improve patient outcomes, and improve healthcare delivery. It has a broad range of uses, including telemedicine, rehabilitation, and robotic surgical support. Human-robot interaction is the term used to describe interactions between social robots and people. Many obstacles stand in the way of human-robot interaction in healthcare, including safety concerns, acceptability issues, appropriateness, usefulness, and the worry that robots may replace human carers. In the end, these difficulties result in a poor adoption rate for robotic technology. As a result, the applications and difficulties of human-robot interaction in healthcare are thoroughly evaluated in this research. This study also reviews future safety prospects from human-robot interaction in healthcare, as well as ethical and usability issues including privacy, trust, and safety, and our aims to provide a comprehensive overview of the use of robots in healthcare, including their applications, benefits, challenges, and prospects, to facilitate a deeper understanding of this evolving field.

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The COVID-19 pandemic has made it abundantly clear how crucial biomedical science is to pandemic control and prevention on a global scale. The importance of biomedical science in the fight against pandemics has increased with the appearance of new, deadly infectious diseases. Biomedical science and engineering have been presented as possible areas for combating the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) due to the unique challenges raised by the pandemic, as reported by epidemiologists, immunologists, and doctors, including the survival, symptoms, protein surface composition, and infection mechanisms of COVID-19. These multidisciplinary engineering concepts are applied to design and develop prevention methods, diagnostics, monitoring, and therapies. An infectious disease outbreak that has spread over a sizable region, such as several continents or the entire world, and is affecting a sizable number of people is referred to as a "pandemic. While current knowledge about the SARS-CoV-2 virus is still limited, various (old and new) biomedical approaches have been developed and tested. Here, we review the emerging applications of biomedical science in pandemic prevention and control, including rapid diagnosis tests, the development of vaccines, antiviral therapies, artificial intelligence, genome sequencing, and personal protective equipment. Biomedical science and nanotechnology are two fields that have the potential to combine to develop emerging applications for combating pandemics. In this review, we also discuss the intersection of biomedical science and nanotechnology in pandemic prevention and control.