Learning gender from human gaits and faces

Computer vision based gender classification is an important component in visual surveillance systems. In this paper, we investigate gender classification from human gaits in image sequences, a relatively understudied problem. Moreover, we propose to fuse gait and face for improved gender discrimination. We exploit Canonical Correlation Analysis (CCA), a powerful tool that is well suited for relating two sets of measurements, to fuse the two modalities at the feature level. Experiments demonstrate that our multimodal gender recognition system achieves the superior recognition performance of 97.2 % in large datasets. In this paper, we investigate gender classification from human gaits in image sequences using machine learning methods. Considering each modality, face or gait, in isolation has its inherent weakness and limitations, we further propose to fuse gait and face for improved gender discrimination. We exploit Canonical Correlation Analysis (CCA), a powerful tool that is well suited for relating two sets of signals, to fuse the two modalities at the feature level. Experiments on large dataset demonstrate that our multimodal gender recognition system achieves the superior recognition performance of 97.2%. We plot in Figure 1 the flow chart of our multimodal gender recognition system. 1

Advanced development of biomarkers for immunotherapy in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the most common liver cancer and one of the leading causes of cancer-related deaths in the world. Mono-immunotherapy and combination therapy with immune checkpoint inhibitors (ICIs) and multitargeted tyrosine kinase inhibitors (TKIs) or anti-vascular endothelial growth factor (anti-VEGF) inhibitors have become new standard therapies in advanced HCC (aHCC). However, the clinical benefit of these treatments is still limited. Thus, proper biomarkers which can predict treatment response to immunotherapy to maximize clinical benefit while sparing unnecessary toxicity are urgently needed. Contrary to other malignancies, up until now, no acknowledged biomarkers are available to predict resistance or response to immunotherapy for HCC patients. Furthermore, biomarkers, which are established in other cancer types, such as programmed death ligand 1 (PD-L1) expression and tumor mutational burden (TMB), have no stable predictive effect in HCC. Thus, plenty of research focusing on biomarkers for HCC is under exploration. In this review, we summarize the predictive and prognostic biomarkers as well as the potential predictive mechanism in order to guide future research direction for biomarker exploration and clinical treatment options in HCC

Evaluation of a peptidomimetic targeting the receptor NRP-1 for treatment of medulloblastoma

Le médulloblastome (MB) est la plus fréquente des tumeurs cérébrales malignes pédiatriques qui représentent la première cause de mortalité par cancer chez l’enfant. Malgré les avancées des nouveaux traitements, les risques de récidive, séquelles et décès après traitement restent importants. Le récepteur de neuropiline-1 (NRP-1) a été récemment impliqué dans la progression tumorale des MBs et semble jouer un rôle important dans le phénotype des cellules souches cancéreuses (CSCs). Le ciblage de cette molécule pourrait ainsi présenter un intérêt thérapeutique dans le traitement des MBs. Nous avons sélectionné des cellules souches de MB capables de former des médullosphères (MS) à partir de 3 lignées cellulaires (DAOY, D283-Med et D341-Med). Ces modèles ont été caractérisés par l’expression de neuropilines (NRP-1 and NRP-2) et de marqueurs phénotypiques (CD133，CD15 et NF-M). Les résultats ont montré une augmentation significative de l’expression de NRP-1 par les cellules cultivées en médullosphères confortant notre stratégie de ciblage. L’impact du traitement de ces cellules par un composé innovant ciblant spécifiquement NRP-1, le MR438, a été ensuite évalué in vitro seul et association avec la radiothérapie notamment sur l’étude de la capacité d’auto-renouvellement des CSCs de MBs. Nous avons mis en évidence une diminution de la capacité d’autorenouvellement des cellules souches de MBs après exposition au MR438 avec une radiosensibilité augmentée pour les 3 modèles cellulaires. In vivo, le composé MR438 a été evalué sur des modèles de xénogreffes hétérotopiques chez la souris nude et montre un effet radiopotentialisant significatif pour les tumeurs issues de la lignée Daoy avec une tendance à la diminution de la progression tumorale pour les 2 autres lignées. De façon intéressante, le composé MR438 induit une diminution significative du nombre de cellules souches pour l’ensemble de nos modèles. Par conséquent, le composé semblerait induire les cellules souches vers un phénotype différencié au moins pour la lignée DAOY, même si les mécanismes n’ont pas pu être clairement élucidé. En conclusion, l’inhibition de NRP-1 via MR438 semble stimuler la différenciation des cellules souches cancéreuses pouvant à terme réduire la progression du MB et apporter un bénéfice en association avec la radiothérapie. L’evaluation du composé sur des modèles orthotopiques de MB permettrait d’obtenir des informations quant à son efficacité sur des modèles plus proche de la physiopathologie tenant compte de sa distribution au niveau cérébralMedulloblastoma (MB) is the most common malignant pediatric brain tumors which is the leading cause of cancer death in children. Despite the progress of new treatments, the risk of recurrence, morbidity, and death after treatment remain important. The neuropilin-1 receptor (NRP-1) has recently been implicated in tumor progression of MBs, which seems to play an important role in the phenotype of cancer stem cells (CSCs). Targeting this molecule could thus present an interesting therapeutic value in the treatment of MB. We have selected cancer stem like cells of MBs in the form of medullospheres (MSs) from 3 cell lines (DAOY, D283-Med and Med-D341). These models were characterized by expression of neuropilins (NRP-1 and NRP-2) and phenotypic markers (CD133, CD15 and NF-M). Results showed a significant increase of the expression of NRP-1 by our CSCs models cultured in MSs that confirms our targeting strategy. The impact of the treatment of these cells with an innovative compound specifically targeting NRP-1, MR438, was then evaluated in vitro alone and in association with radiotherapy, especially on the study of the capacity for self-renewal. A decrease of self-renewal capacity for MB stem cells after exposition of MR438 with an increase of radiosensitivity for the 3 cell models in vitro was demonstrated. In vivo, MR438 was evaluated on heterotopic xenograft models in nude mice and showed a significant augmentation of radiosensitivity for DAOY tumors with a tendency to decrease tumor progression for the other 2 cell lines. Interestingly, the compound MR438 induced a significant decrease in the number of stem cells for all of our models. The compound appeared to induce CSCs to a differentiated phenotype at least for the DAOY cells, although mechanisms could not be clearly elucidated. In conclusion, inhibition of NRP-1 via MR438 seems to stimulate the differentiation of CSCs that may eventually reduce the progression of MB and bring a benefit in association with radiotherapy. Evaluation of this compound on orthotopic models of MB would provide information on its effectiveness on models closer to the physiopathology taking into account its distribution at the cerebral leve

Intérêt de l’utilisation d’un peptidomimétique ciblant le récepteur NRP-1 pour le traitement du médulloblastome

Medulloblastoma (MB) is the most common malignant pediatric brain tumors which is the leading cause of cancer death in children. Despite the progress of new treatments, the risk of recurrence, morbidity, and death after treatment remain important. The neuropilin-1 receptor (NRP-1) has recently been implicated in tumor progression of MBs, which seems to play an important role in the phenotype of cancer stem cells (CSCs). Targeting this molecule could thus present an interesting therapeutic value in the treatment of MB. We have selected cancer stem like cells of MBs in the form of medullospheres (MSs) from 3 cell lines (DAOY, D283-Med and Med-D341). These models were characterized by expression of neuropilins (NRP-1 and NRP-2) and phenotypic markers (CD133, CD15 and NF-M). Results showed a significant increase of the expression of NRP-1 by our CSCs models cultured in MSs that confirms our targeting strategy. The impact of the treatment of these cells with an innovative compound specifically targeting NRP-1, MR438, was then evaluated in vitro alone and in association with radiotherapy, especially on the study of the capacity for self-renewal. A decrease of self-renewal capacity for MB stem cells after exposition of MR438 with an increase of radiosensitivity for the 3 cell models in vitro was demonstrated. In vivo, MR438 was evaluated on heterotopic xenograft models in nude mice and showed a significant augmentation of radiosensitivity for DAOY tumors with a tendency to decrease tumor progression for the other 2 cell lines. Interestingly, the compound MR438 induced a significant decrease in the number of stem cells for all of our models. The compound appeared to induce CSCs to a differentiated phenotype at least for the DAOY cells, although mechanisms could not be clearly elucidated. In conclusion, inhibition of NRP-1 via MR438 seems to stimulate the differentiation of CSCs that may eventually reduce the progression of MB and bring a benefit in association with radiotherapy. Evaluation of this compound on orthotopic models of MB would provide information on its effectiveness on models closer to the physiopathology taking into account its distribution at the cerebral levelLe médulloblastome (MB) est la plus fréquente des tumeurs cérébrales malignes pédiatriques qui représentent la première cause de mortalité par cancer chez l’enfant. Malgré les avancées des nouveaux traitements, les risques de récidive, séquelles et décès après traitement restent importants. Le récepteur de neuropiline-1 (NRP-1) a été récemment impliqué dans la progression tumorale des MBs et semble jouer un rôle important dans le phénotype des cellules souches cancéreuses (CSCs). Le ciblage de cette molécule pourrait ainsi présenter un intérêt thérapeutique dans le traitement des MBs. Nous avons sélectionné des cellules souches de MB capables de former des médullosphères (MS) à partir de 3 lignées cellulaires (DAOY, D283-Med et D341-Med). Ces modèles ont été caractérisés par l’expression de neuropilines (NRP-1 and NRP-2) et de marqueurs phénotypiques (CD133，CD15 et NF-M). Les résultats ont montré une augmentation significative de l’expression de NRP-1 par les cellules cultivées en médullosphères confortant notre stratégie de ciblage. L’impact du traitement de ces cellules par un composé innovant ciblant spécifiquement NRP-1, le MR438, a été ensuite évalué in vitro seul et association avec la radiothérapie notamment sur l’étude de la capacité d’auto-renouvellement des CSCs de MBs. Nous avons mis en évidence une diminution de la capacité d’autorenouvellement des cellules souches de MBs après exposition au MR438 avec une radiosensibilité augmentée pour les 3 modèles cellulaires. In vivo, le composé MR438 a été evalué sur des modèles de xénogreffes hétérotopiques chez la souris nude et montre un effet radiopotentialisant significatif pour les tumeurs issues de la lignée Daoy avec une tendance à la diminution de la progression tumorale pour les 2 autres lignées. De façon intéressante, le composé MR438 induit une diminution significative du nombre de cellules souches pour l’ensemble de nos modèles. Par conséquent, le composé semblerait induire les cellules souches vers un phénotype différencié au moins pour la lignée DAOY, même si les mécanismes n’ont pas pu être clairement élucidé. En conclusion, l’inhibition de NRP-1 via MR438 semble stimuler la différenciation des cellules souches cancéreuses pouvant à terme réduire la progression du MB et apporter un bénéfice en association avec la radiothérapie. L’evaluation du composé sur des modèles orthotopiques de MB permettrait d’obtenir des informations quant à son efficacité sur des modèles plus proche de la physiopathologie tenant compte de sa distribution au niveau cérébra

Evaluation of COVID-19 based on ACE2 expression in normal and cancer patients

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is now a serious public health problem. Angiotensin-converting enzyme 2 (ACE2) recognized as the receptor of SARS-CoV is also necessary for SARS-CoV-2. However, the impact of ACE2 on SARS-CoV-2 susceptibility and the situation of malignant tumor patients in this outbreak are unclear. So, it is important to understand the expressions of ACE2 in different normal tissues and cancers. The results showed that the kidneys, duodenum, intestine, gallbladder and testis had the highest ACE2 expressions, followed by the colon, rectum and seminal vesicles. The lungs had a very low expression. ACE2 expressions were upregulated in renal cancer, gastrointestinal tumor and lung cancer. ACE2 expression levels may affect SARS-CoV-2 infection and severity. A total of 3,421 cases with COVID-19 have been collected. Among them, 43 cases (1.26%) had malignant tumor coexisting conditions. The rate of severe events for malignant tumor patients was 39.02% (16/41), while the rate of severe events for all patients was 10.79% (194/1,798). The clinical symptoms and signs were studied for the following three systems: respiratory (31–92%), digestive (10–13%) and urinary systems (3.38%). It seems that symptom severity is not related to protein expression levels. This might be the reason for SARS-CoV-2 showing higher regeneration index and susceptibility. More research is needed to explore the mechanisms and treatments

European journal of dermatology : EJD

Vision-based human affect analysis is an interesting and challenging problem, impacting important applications in many areas. In this paper, beyond facial expressions, we investigate affective body gesture analysis in video sequences, a relatively understudied problem. Spatial-temporal features are exploited for modeling of body gestures. Moreover, we present to fuse facial expression and body gesture at the feature level using Canonical Correlation Analysis (CCA). By establishing the relationship between the two modalities, CCA derives a semantic “affect ” space. Experimental results demonstrate the effectiveness of our approaches.

Robust facial expression recognition using local binary patterns

A novel low-computation discriminative feature space is introduced for facial expression recognition capable of robust performance over a rang of image resolutions. Our approach is based on the simple Local Binary Patterns (LBP) for representing salient micro-patterns of face images. Compared to Gabor wavelets, the LBP features can be extracted faster in a single scan through the raw image and lie in a lower dimensional space, whilst still retaining facial information efficiently. Template matching with weighted Chi square statistic and Support Vector Machine are adopted to classify facial expressions. Extensive experiments on the Cohn-Kanade Database illustrate that the LBP features are effective and efficient for facial expression discrimination. Additionally, experiments on face images with different resolutions show that the LBP features are robust to low-resolution images, which is critical in real-world applications where only low-resolution video input is available. 1