Application of artificial intelligence in cancer diagnosis and tumor nanomedicine.

Cancer is a major health concern due to its high incidence and mortality rates. Advances in cancer research, particularly in artificial intelligence (AI) and deep learning, have shown significant progress. The swift evolution of AI in healthcare, especially in tools like computer-aided diagnosis, has the potential to revolutionize early cancer detection. This technology offers improved speed, accuracy, and sensitivity, bringing a transformative impact on cancer diagnosis, treatment, and management. This paper provides a concise overview of the application of artificial intelligence in the realms of medicine and nanomedicine, with a specific emphasis on the significance and challenges associated with cancer diagnosis. It explores the pivotal role of AI in cancer diagnosis, leveraging structured, unstructured, and multimodal fusion data. Additionally, the article delves into the applications of AI in nanomedicine sensors and nano-oncology drugs. The fundamentals of deep learning and convolutional neural networks are clarified, underscoring their relevance to AI-driven cancer diagnosis. A comparative analysis is presented, highlighting the accuracy and efficiency of traditional methods juxtaposed with AI-based approaches. The discussion not only assesses the current state of AI in cancer diagnosis but also delves into the challenges faced by AI in this context. Furthermore, the article envisions the future development direction and potential application of artificial intelligence in cancer diagnosis, offering a hopeful prospect for enhanced cancer detection and improved patient prognosis.

UV-assisted synthesis of ultra-small GO-Austar for efficient PTT therapeutic architectonic construction.

Conventional Au nanomaterial synthesis typically necessitates the involvement of extensive surfactants and reducing agents, leading to a certain amount of chemical waste and biological toxicity. In this study, we innovatively employed ultra-small graphene oxide as a reducing agent and surfactant for the in situ generation of small Au nanoparticles under ultraviolet irradiation (UV) at ambient conditions. After ultra-small GO-Au seeds were successfully synthesized, we fabricated small star-like Au nanoparticles on the surface of GO, in which GO effectively prevented Austar from aggregation. To further use GO-Austar for cancer PTT therapy, through the modification of reduced human serum albumin-folic acid conjugate (rHSA-FA) and loading IR780, the final probe GO-Austar@rHSA-FA@IR780 was prepared. The prepared probe showed excellent biocompatibility and superb phototoxicity towards MGC-803 cells in vitro. In vivo, the final probe dramatically increased tumor temperature up to 58.6 °C after 5 minutes of irradiation by an 808 nm laser, significantly inhibiting tumor growth and nearly eradicating subcutaneous tumors in mice. This research provides a novel and simple method for the synthesis of GO-Au nanocomposites, showcasing significant potential in biological applications.

Clinical Influence of Nursing Intervention Under FOCUS-Plan-Do-Check-Act Cycle Management Model on Preventing and Controlling Central Line-associated Bloodstream Infections in Patients in ICU.

Background: Central venous catheterization is an invasive procedure that may lead to central line-associated bloodstream infection, affecting the patient's prognosis and recovery. Thus, it is essential to master the right interventions for the prevention and control of central line-associated bloodstream infections. FOCUS-Plan-Do-Check-Act (PDCA) cycle management model, also known as Deming circle management model, is a programmed and scientific management method. Objective: We attempted to clarify the impact of nursing intervention on preventing and controlling central line-associated bloodstream infection under the FOCUS- PDCA cycle management model, in order to effectively deplete central line-associated bloodstream infection in each intensive care unit, facilitate early recovery of patients. Design: Our study retrospectively analyzed the clinical data of intensive care unit patients before and after implementation of nursing intervention under the FOCUS-PDCA cycle management model. This study was a retrospective study. Setting: This study was performed in the Department of Infection Management, Taihe County People's Hospital. Participants: A total of 214 intensive care unit patients with indwelling central venous catheters before implementation of nursing intervention under the FOCUS-PDCA cycle management model in our hospital in 2021 were selected as the control group. A total of 220 ICU patients with indwelling CVC after nursing intervention under the FOCUS-PDCA cycle management model in 2022 were included in the experimental group. All patients met the inclusion criteria of patients with CVC puncture catheterization for ≥ 2 days. Interventions: The control group underwent conventional nursing, including (1) nurses observing aseptic technique; (2) nurses regularly inspected and replaced dressings; (3) nurses timely handled abnormal situations at the puncture site; (4) nurses provided relevant education and psychological counseling to patients and their families. The experimental group adopted nursing intervention under the FOCUS-PDCA cycle management model on the basis of that of the control group. Primary Outcome Measures: (1) central venous catheterization puncture status (2) central venous catheterization application status (3) central line-associated bloodstream infection status, and (4) hospitalization status. Results: The one-time success rate of puncture and success rate of puncture in the experimental group exhibited elevation relative to those in the control group (P < .05). The central venous catheterization application rate in the experimental group exhibited depletion relative to that in the control group (P < .05). The daily infection rate of CLABSI in the experimental group exhibited depletion relative to that in the control group, but without statistical significance (P > .05), indicating that nursing intervention under the FOCUS-PDCA cycle management model had no obvious inhibitory effect on the daily infection rate of CLABSI. The time of central line-associated bloodstream infection occurrence in the experimental group was later than that in the control group (P < .05). The hospitalization time and hospitalization expenses in the experimental group exhibited depletion relative to those in the control group (P < .05). Conclusion: Nursing intervention under the FOCUS-PDCA cycle management model can effectively deplete central line-associated bloodstream infection in each intensive care unit, facilitate early recovery of patients, and shorten hospital stay, which is worthy of promotion. Our study provide a clinical nursing reference for the preventing and controlling central line-associated bloodstream infections in patients in each intensive care unit.

An ingestible near-infrared fluorescence capsule endoscopy for specific gastrointestinal diagnoses.

Early diagnosis of gastrointestinal (GI) diseases is important to effectively prevent carcinogenesis. Capsule endoscopy (CE) can address the pain caused by wired endoscopy in GI diagnosis. However, existing CE approaches have difficulty effectively diagnosing lesions that do not exhibit obvious morphological changes. In addition, the current CE cannot achieve wireless energy supply and attitude control at the same time. Here, we successfully developed a novel near-infrared fluorescence capsule endoscopy (NIFCE) that can stimulate and capture near-infrared (NIR) fluorescence images to specifically identify subtle mucosal microlesions and submucosal lesions while capturing conventional white light (WL) images to detect lesions with significant morphological changes. Furthermore, we constructed the first synergetic system that simultaneously enables multi-attitude control in NIFCE and supplies long-term power, thus addressing the issue of excessive power consumption caused by the NIFCE emitting near-infrared light (NIRL). We performed in vivo experiments to verify that the NIFCE can specifically "light up" tumors while sparing normal tissues by synergizing with probes actively aggregated in tumors, thus realizing specific detection and penetration. The prototype NIFCE system represents a significant step forward in the field of CE and shows great potential in efficiently achieving early targeted diagnosis of various GI diseases.

Genetic variations in DNA excision repair pathway contribute to the chemosensitivity and prognosis of acute myeloid leukemia.

Acute myeloid leukemia (AML) is a hematologic malignancy with a high recurrence rate and poor long-term prognosis. DNA excision repair systems, such as base excision repair (BER) and nucleotide excision repair (NER), play a major role in maintaining genomic stability and integrity. Further intensive investigations are necessary to uncover additional AML prognosis loci. In this study, we analyzed 16 candidate SNPs within NER and BER pathways in AML patients. Our results showed the GT/GG genotype of the XPC rs2228001 polymorphism was significantly associated with WBC count in dominant models (OR = 0.41, 95 % CI = 0.18-0.96, p = 0.039). Additionally, the rs25487 and rs3213245 SNPs in the XRCC1 gene, in both co-dominant and dominant models, were significantly associated with PLT count in AML (p < 0.05). The GG genotype of rs1130409 in APEX1 was more prone to adverse cytogenetics in both the codominant and recessive models (p < 0.05). Furthermore, the GA genotypes of ERCC8 rs158572 in codominant model was significantly correlated with refractory group (p < 0.05). ERCC8 rs158572 and XRCC1 rs3213245 in both codominant and dominant models were significantly correlated with the MRD positivity (p < 0.05). Kaplan-Meier analysis revealed an link between overall survival (OS) and the co-dominant, dominant, and recessive models of rs2228001 in XPC. Additionally, patients with the GG and GT/GG genotype in the co-dominant, dominant model and recessive model in XPC rs2228001 exhibited significantly longer survival (p < 0.05). Multivariate Cox analyses indicated that rs2228001 in both co-dominant and dominant models were independent favorable factors impacting patient OS (OR < 1). Our findings suggest that genetic polymorphisms in DNA excision repair pathway genetic polymorphisms contribute to the chemosensitivity and prognosis of acute myeloid leukemia.

Photodynamic effects of gold nanostars loading chlorin e6 on lung cancer A549 cells / 中国肿瘤生物治疗杂志

@#[Abstract] Objective: To prepare GNS (gold nanostars) loading photosensitizer chlorin e6 (Ce6) and to investigate its photodynamic effects on lung cancerA549 cells. Methods: GNS was firstly modified by SH-PEG-NH2 and then mixed with Ce6 and shaken overnight to prepare GNS-PEG@Ce6, which had photodynamic therapy effects. The characterization, morphology and encapsulation rate were detected. The difference between the phagocytosis of Ce6 and GNS-PEG@Ce6 by A549 cells were observed with a Leical TCS SP8 confocal laser scanning microscope. MTT assay was used to examine the inhibitory effect of GNS-PEG@Ce6 on the proliferation of A549 cells while FCM was used to detect the effect of probe GNS-PEG@Ce6 on the apoptosis ofA549 cells. Results: The particle size of the GNS-PEG@Ce6 was about 100 nm. The prepared GNS-PEG@Ce6 nanoparticles exhibited good dispersion and stability and the encapsulation rate of Ce6 was about 50%. GNS-PEG@Ce6 entered the cells by endocytosis and mainly distributed in the cytoplasm; compared with Ce6, GNS-PEG@Ce6 could enter the cells more effectively. The proliferation-suppression effect of GNS-PEG@Ce6 on A549 cells was significantly stronger than that of Ce6 (P<0.05). The results of flow cytometry showed that the probe exhibited strong apoptotic effect on A549 cells. Conclusion: GNS, as the drug carrier, could effectively increase the Ce6 uptake efficacy in A549 cells, thus further enhancing the killing effects of Ce6 on lung cancerA549 cells.