Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation

Data sharing for medical research has been difficult as open-sourcing clinical data may violate patient privacy. Traditional methods for face de-identification wipe out facial information entirely, making it impossible to analyze facial behavior. Recent advancements on whole-body keypoints detection also rely on facial input to estimate body keypoints. Both facial and body keypoints are critical in some medical diagnoses, and keypoints invariability after de-identification is of great importance. Here, we propose a solution using deepfake technology, the face swapping technique. While this swapping method has been criticized for invading privacy and portraiture right, it could conversely protect privacy in medical video: patients' faces could be swapped to a proper target face and become unrecognizable. However, it remained an open question that to what extent the swapping de-identification method could affect the automatic detection of body keypoints. In this study, we apply deepfake technology to Parkinson's disease examination videos to de-identify subjects, and quantitatively show that: face-swapping as a de-identification approach is reliable, and it keeps the keypoints almost invariant, significantly better than traditional methods. This study proposes a pipeline for video de-identification and keypoint preservation, clearing up some ethical restrictions for medical data sharing. This work could make open-source high quality medical video datasets more feasible and promote future medical research that benefits our society.Comment: Accepted for publication at the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) 202

ELECTROACUPUNCTURE AT THE WANGU ACUPOINT SUPPRESSES EXPRESSION OF INFLAMMATORY CYTOKINES IN THE HIPPOCAMPUS OF RATS WITH VASCULAR DEMENTIA

Background: Vascular dementia (VD) is the most frequent psychiatric complication of stroke, and is often difficult to treat. Incidence rate of vascular cognition impairment is still 70% after stroke in one year (Sui R et al.2011). Stroke patients with VD suffer from a higher mortality rate and have worse functional outcomes and quality of life. However, despite the extensive literatures on this topic, there is no agreement on the causal mechanisms and effective therapy for VD. The objective of this study is to examine if electroacupuncture at the Wangu acupoint (GB 12), whose position is similar to the cerebellar fastigial nucleus, could reduce inflammatory cytokines in the hippocampus of rats with vascular dementia (VD). Materials and Methods: The 54 healthy, male, Sprague-Dawley (SD) rats, 9 months old, and of clean grade (300-450) g, were randomly divided into three groups: sham surgery group, VD group and electro-acupuncture group. The ethology scores of VD rats were evaluated and the mRNA expressions of inflammatory cytokines (TNF-α, IL-6 and IL-1β) in the hippocampus were assessed and the hippocampal tissues were observed by hematoxylin-eosin staining. Results: Compared with the VD group, in the electroacupuncture group, the rats’ learning ability improved significantly and the mRNA expression of TNF-α, IL-6 and IL-1β decreased. Simultaneously, the damage extent of nerve cells in the hippocampal tissues decreased, with their morphology recovered to nearly normal. Conclusions: Electro-acupuncture at the Wangu acupoint can decrease the levels of inflammatory cytokines in the hippocampus, reduce the damage extent of nerve cells in the hippocampus, and thus provide a new neuroprotective method in V

Towards Better Entity Linking with Multi-View Enhanced Distillation

Dense retrieval is widely used for entity linking to retrieve entities from large-scale knowledge bases. Mainstream techniques are based on a dual-encoder framework, which encodes mentions and entities independently and calculates their relevances via rough interaction metrics, resulting in difficulty in explicitly modeling multiple mention-relevant parts within entities to match divergent mentions. Aiming at learning entity representations that can match divergent mentions, this paper proposes a Multi-View Enhanced Distillation (MVD) framework, which can effectively transfer knowledge of multiple fine-grained and mention-relevant parts within entities from cross-encoders to dual-encoders. Each entity is split into multiple views to avoid irrelevant information being over-squashed into the mention-relevant view. We further design cross-alignment and self-alignment mechanisms for this framework to facilitate fine-grained knowledge distillation from the teacher model to the student model. Meanwhile, we reserve a global-view that embeds the entity as a whole to prevent dispersal of uniform information. Experiments show our method achieves state-of-the-art performance on several entity linking benchmarks.Comment: Accepted by ACL 2023 Main Conferenc

Identification of thioredoxin-1 as a biomarker of lung cancer and evaluation of its prognostic value based on bioinformatics analysis

BackgroundThioredoxin-1 (TXN), a redox balance factor, plays an essential role in oxidative stress and has been shown to act as a potential contributor to various cancers. This study evaluated the role of TXN in lung cancer by bioinformatics analyses.Materials and methodsGenes differentially expressed in lung cancer and oxidative stress related genes were obtained from The Cancer Genome Atlas, Gene Expression Omnibus and GeneCards databases. Following identification of TXN as an optimal differentially expressed gene by bioinformatics, the prognostic value of TXN in lung cancer was evaluated by univariate/multivariate Cox regression and Kaplan–Meier survival analyses, with validation by receiver operation characteristic curve analysis. The association between TXN expression and lung cancer was verified by immunohistochemical analysis of the Human Protein Atlas database, as well as by western blotting and qPCR. Cell proliferation was determined by cell counting kit-8 after changing TXN expression using lentiviral transfection.ResultsTwenty differentially expressed oxidative stress genes were identified. Differential expression analysis identified five genes (CASP3, CAT, TXN, GSR, and HSPA4) and Kaplan–Meier survival analysis identified four genes (IL-6, CYCS, TXN, and BCL2) that differed significantly in lung cancer and normal lung tissue, indicating that TXN was an optimal differentially expressed gene. Multivariate Cox regression analysis showed that T stage (T3/T4), N stage (N2/N3), curative effect (progressive diseases) and high TXN expression were associated with poor survival, although high TXN expression was poorly predictive of overall survival. TXN was highly expressed in lung cancer tissues and cells. Knockdown of TXN suppressed cell proliferation, while overexpression of TXN enhanced cell proliferation.ConclusionHigh expression of TXN plays an important role in lung cancer development and prognosis. Because it is a prospective prognostic factor, targeting TXN may have clinical benefits in the treatment of lung cancer

Signet-ring cell lymphoma: clinicopathologic, immunohistochemical, and fluorescence in situ hybridization studies of 7 cases

Context Signet-ring cell lymphoma (SRCL) is a rare morphologic variant of non–Hodgkin lymphoma. Although it was initially reported as a rare morphologic variant of follicular lymphoma (FL), SRCL has to date been described in most types of non–Hodgkin lymphoma, mostly as single-case reports. Objective To study SRCL systematically by immunohistochemical stains and fluorescent in situ hybridization analyses. Design Seven SRCL cases were stained for CD3, CD5, CD20, PAX-5, CD10, CD21, CD23, cyclin D1, BCL2, BCL6, Ki-67, and MUM-1, and were analyzed by fluorescent in situ hybridization for BCL2, BCL6, MYC, and MALT1 rearrangements. Clinical information and patient outcome were reviewed in all patients. Results The patients were 3 women and 3 men, ranging in age from 31 to 75 years (average 60.3 years). The lesions involved lymph nodes, tonsil, parotid gland, soft tissue, and breast. There were 4 FLs, 1 diffuse large B-cell lymphoma (DLBCL), 1 DLBCL with FL, and 1 DLBCL with marginal zone lymphoma. All cases had typical signet-ring cell morphology. They were positive for CD20 and BCL-2, and had low-to-intermediate Ki-67 proliferation index (10%-40%) except in the parotid DLBCL with FL (70%). BCL-6 was detected in all but 1 FL (6/7). Fluorescent in situ hybridization detected IGH/BCL2 translocation in 1 FL, increased BCL6 copy number in another FL, BCL6 rearrangement, and increased copy number of MYC and MALT1 in the DLBCL with marginal zone lymphoma. Conclusions The FL with signet-ring cell morphology (1/5) tends to lack IGH/BCL2 translocation, and an extended immunohistochemical study is recommended for correct diagnosis and classification of SRCL