Topic Review
Artificial Intelligence in Breast Cancer Medical Imaging
The heavy global burden and mortality of breast cancer emphasize the importance of early diagnosis and treatment. Imaging detection is one of the main tools used in clinical practice for screening, diagnosis, and treatment efficacy evaluation, and can visualize changes in tumor size and texture before and after treatment. The overwhelming number of images, which lead to a heavy workload for radiologists and a sluggish reporting period, suggests the need for computer-aid detection techniques and platform. In addition, complex and changeable image features, heterogeneous quality of images, and inconsistent interpretation by different radiologists and medical institutions constitute the primary difficulties in breast cancer screening and imaging diagnosis. The advancement of imaging-based artificial intelligence (AI)-assisted tumor diagnosis is an ideal strategy for improving imaging diagnosis efficient and accuracy. By learning from image data input and constructing algorithm models, AI is able to recognize, segment, and diagnose tumor lesion automatically, showing promising application prospects. Furthermore, the rapid advancement of “omics” promotes a deeper and more comprehensive recognition of the nature of cancer.
  • 366
  • 03 Feb 2023
Topic Review
Epidemiology—TNBC Risk in T2DM Patients
Triple-negative breast cancer (TNBC) is usually the most malignant and aggressive mammary epithelial tumor characterized by the lack of expression for estrogen receptors and progesterone receptors, and the absence of epidermal growth factor receptor (HER)2 amplification. Corresponding to 15–20% of all breast cancers and well-known by its poor clinical outcome, this negative receptor expression deprives TNBC from targeted therapy and makes its management therapeutically challenging. Type 2 diabetes mellitus (T2DM) is the most common ageing metabolic disorder due to insulin deficiency or resistance resulting in hyperglycemia, hyperinsulinemia, and hyperlipidemia. Due to metabolic and hormonal imbalances, there are many interplays between both chronic disorders leading to increased risk of breast cancer, especially TNBC, diagnosed in T2DM patients.
  • 366
  • 27 Jul 2023
Topic Review
The Applications of Artificial Intelligence in Screening
Artificial intelligence (AI) is a field of study that attempts to replicate natural human intelligence in machines. The machines can then independently perform activities that would otherwise require human intelligence. AI can be broken down into several subsets, such as machine learning (ML) and deep learning (DL). Primary care has the potential to be transformed by artificial intelligence (AI) and, in particular, machine learning (ML). Healthcare professionals can identify diseases at an early and curable stage by using ML models to examine medical pictures, diagnostic modalities, and spot patterns that may suggest disease or anomalies. Before the onset of symptoms, ML can be used to identify people at an increased risk of developing specific disorders or diseases. ML algorithms can assess patient data such as medical history, genetics, and lifestyle factors to identify those at higher risk. This enables targeted interventions such as lifestyle adjustments or early screening. 
  • 366
  • 05 Jun 2023
Topic Review
Tourism, Ethnicity, and Gender in Yunnan
If a tourist looks for destinations with colourful and exotic lifestyles in China, then Yunnan would certainly be one of the more popular choices due to its high proportion of ethnic populations. Gender gaps appear to be reduced, with ethnic woman often conducting better business than their male counterparts. Additionally, ethnic women have the opportunity to explore the potentials of their own capacity. They come into contact with the outside world and gain better social capital, along with expanding choices, and social recognition.
  • 366
  • 28 Nov 2022
Topic Review
Lifestyle and Pain following Cancer
Cancer Survivor (CS), the most widely used definition is: “being a CS, starts on the day of diagnosis and continues until the end of life. Three cancer survivorship phases can be distinguished: “acute survivorship” (i.e., early-stage or time during curative treatment), “permanent survivorship” (i.e., living with cancer or also called the palliative stage), and “extended survivorship” (i.e., cured but not free of suffering). Chronic pain is one of these and occurs in 40% of CSs. Chronic pain is defined by the International Association for the Study of Pain (IASP) as pain that persists or recurs for longer than three month. Unrelieved pain can have considerable adverse consequences on a CSs’ quality of life.
  • 365
  • 07 Jan 2022
Topic Review
Therapeutic Implications of Splanchnic Vein Thrombosis
Splanchnic vein thrombosis (SVT) includes portal (portal vein thrombosis, PVT), mesenteric (mesenteric vein thrombosis, MVT) and splenic vein thrombosis, and Budd-Chiari syndrome (BCS). SVT is generally classified as secondary to an identified risk factor or primitive, unprovoked, when causative factors cannot be identified. While much rarer than common venous thromboembolism (VTE), SVT is often challenging to clinicians for both the identification of the causal disorder and for its therapeutic management. The therapeutic approach of SVT is a clinical challenge and considers the manifestations and the site of thrombosis, the risk of SVT progression, recurrence and bleeding. The decision regarding when to start, as well as the type and the duration of anticoagulant therapy is often made empirically.
  • 365
  • 09 May 2023
Topic Review
Heatwaves on Human Morbidity in Primary Care Settings
Heatwaves are expected to be more intense, occur more often, and last longer. There is a need to study the effects of heatwaves in primary care settings. Heatwaves are associated with increased heat-related morbidities and decreased respiratory infection risk. The study of heatwaves’ effects in primary care settings helps evaluate the impact of heatwaves on the general population. Primary care settings might be not suitable to study acute life-threatening morbidities. 
  • 364
  • 20 Jan 2022
Topic Review
Multisystem Inflammatory Syndrome after COVID-19 Infection
Coronavirus disease 2019 (COVID-19) rapidly emerged as a global pandemic, placing imminent stress and burden on healthcare resources and workers worldwide. Many patients who present with a severe COVID-19 infection are at high risk of developing severe acute respiratory distress syndrome (ARDS), leading to a vast number of patients requiring mechanical ventilation and a high mortality rate. Similar to Middle East respiratory syndrome, COVID-19 demonstrates an initial viral replication phase that manifests as a variety of symptoms typically flu-like in nature, followed by a profound inflammatory response leading to rapid production of cytokines and uncontrolled inflammation. 
  • 363
  • 27 Apr 2023
Topic Review
Cholangiocarcinoma According to Different Etiologies
This scenario is even more complex in the context of cholangiocarcinoma (CCA), which encompasses an extremely heterogeneous group of malignancies arising from the intrahepatic (iCCA) and extrahepatic (eCCA) biliary tree. The molecular heterogeneity of CCA has been observed not only when comparing iCCA and eCCA subtypes, but also among patients with the same cancer type (inter-patient heterogeneity), and even across the different topographic regions of the tumor from the same patient (intra-patient heterogeneity).
  • 363
  • 12 May 2023
Topic Review
Landscape Preference
Landscape preference (LP) is often a critical interdisciplinary research topic that explores the interaction between human beings and their environments. Human preferences for landscape can have a profound influence on how the preservation, reconstruction, and restoration of the landscape is approached, both consciously and unconsciously. Theories of LP emerged in the 1960s and can be divided into three need categories: (1) the need for survival, (2) the need for affection, and (3) the need for cognition.
  • 363
  • 28 Jun 2023
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