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The progression of cancers and neurodegenerative disorders is largely defined by a set of molecular determinants that are either complementarily deregulated, or share remarkably overlapping functional pathways. A large number of such molecules have been demonstrated to be involved in the progression of both diseases. In this review, we particularly discuss our current knowledge on p53, cyclin D, cyclin E, cyclin F, Pin1 and protein phosphatase 2A, and their implications in the shared or distinct pathways that lead to cancers or neurodegenerative diseases. In addition, we focus on the inter-dependent regulation of brain cancers and neurodegeneration, mediated by intercellular communication between tumor and neuronal cells in the brain through the extracellular microenvironment. Finally, we shed light on the therapeutic perspectives for the treatment of both cancer and neurodegenerative disorders.

Accurate and reliable detection of intracranial aneurysms is vital for subsequent treatment to prevent bleeding. However, the detection of intracranial aneurysms can be time-consuming and even challenging, and there is great variability among experts, especially in the case of small aneurysms. This study aimed to detect intracranial aneurysms accurately using a convolutional neural network (CNN) with 3D time-of-flight magnetic resonance angiography (TOF-MRA). A total of 154 3D TOF-MRA datasets with intracranial aneurysms were acquired, and the gold standards were manually drawn by neuroradiologists. We also obtained 113 subjects from a public dataset for external validation. These angiograms were pre-processed by using skull-stripping, signal intensity normalization, and N4 bias correction. The 3D patches along the vessel skeleton from MRA were extracted. Values of the ratio between the aneurysmal and the normal patches ranged from 1:1 to 1:5. The semantic segmentation on intracranial aneurysms was trained using a 3D U-Net with an auxiliary classifier to overcome the imbalance in patches. The proposed method achieved an accuracy of 0.910 in internal validation and external validation accuracy of 0.883 with a 2:1 ratio of normal to aneurysmal patches. This multi-task learning method showed that the aneurysm segmentation performance was sufficient to be helpful in an actual clinical setting.

(1) Background: There is a paucity of data regarding the validity of rapid antibody testing for SARS-CoV-2 vaccine response in homeless people worldwide. The objective of this study was to evaluate a rapid SARS-CoV-2 IgM/IgG antibody detection kit as a qualitative screen for vaccination in homeless people. (2) Methods: This study included 430 homeless people and 120 facility workers who had received one of BNT162b2, mRNA-1273, AZD1222/ChAdOx1, or JNJ-78436735/AD26.COV2.5 vaccines. They were tested for IgM/IgG antibodies to the SARS-CoV-2 spike protein with the STANDARD™ Q COVID-19 IgM/IgG Plus Test (QNCOV-02C). ELISA/competitive inhibition ELISA (CI-ELISA) was subsequently run to assess the validity of the serological antibody test. (3) Results: The sensitivity of homeless people was 43.5%. The status of homelessness was related to a lower agreement between serological antibody testing and CI-ELISA (adjusted OR (aOR), 0.35; 95% CI, 0.18–0.70). However, the Heterologous boost vaccine presented higher agreement between serological antibody testing and CI-ELISA (adjusted OR (aOR), 6.50; 95% CI, 3.19–13.27). (4) Conclusions: This study found weak agreement between the rapid IgG results and confirmatory CI-ELISA testing in homeless people. However, it can be used as a screening test for the acceptance of homeless people with heterologous boost vaccination in facilities.

Although Li‐metal has been revisited as the most attractive anode in building high‐energy‐density batteries owing to its superiority, such as ultimate theoretical capacity and lowest working voltage, notorious Li dendrite growth has plagued its practical uses. Since dendritic Li electroplating is mostly caused by poor Li+ transport and inferior stability of solid‐electrolyte interphase (SEI), an innovative reframing of the electrolyte is crucial to the success of Li‐metal anodes (LMAs). This review presents a new class of electrolytes, nano‐colloidal electrolytes (NCEs), providing a new avenue for next‐generation Li‐metal batteries (LMBs). Without searching for new salts/solvents or their compositional tuning, NCEs exploiting multi‐functional nanoparticles dispersed in liquid electrolytes can promote Li+ transport and reinforce the SEI of liquid electrolytes that are solely used. This review discusses various types of nanoparticles and their key roles in demonstrating excellent suppression of Li dendrite growth and enhancing the cycling stability of LMBs. Unraveling the underlying design principles of NCEs offers practical solutions for stabilizing LMAs, paving the way for developing intelligent battery systems. Li metal batteries suffer from Li dendrite formation problems owing to inferior Li+ transport and poor SEI. Nano‐colloidal electrolytes (NCEs) containing nanoparticles in liquid electrolytes can modify the Li+ microenvironment and Li metal interface chemistry. Additionally, NCE has recently focused on granting smart functionality to nanoparticles to suppress Li dendrite formation.

Highly reversible lithium (Li) plating/stripping in zero‐excess Li metal batteries (ZE‐LMBs) demands lithiophilic current collectors to suppress Li dendrite formation and Li pulverization. Although Li‐alloyable metals have been recognized as lithiophilic substrates, their structural and interfacial stability over cycling are still poorly understood. Here, we present a bimetallic lithiophilic current collector through sequential coatings of platinum (Pt) and silver (Ag). Experimental and computational studies reveal that Ag facilitates uniform Li nucleation and seamless solid electrolyte interphase (SEI) formation owing to the low Li diffusion barrier and strong anion adsorption, whereas Pt maintains lithiophilicity and structural integrity. Leveraging this complementarity, the Ag‐outer/Pt‐inner bilayer (Ag/Pt@Cu) achieves superior cycling stability through location‐specific functional decoupling: the outer Ag layer ensures uniform Li deposition and robust SEI formation, whereas the inner Pt layer supports long‐term lithiophilicity, thereby outperforming the reversed configuration (Pt/Ag@Cu). Given that the structural robustness of lithiophilic coatings is essential for enhancing the cycling performance of ZE‐LMBs, this study provides a versatile design framework for multi‐component, multi‐layer architectures, enabling the rational engineering of structurally resilient, lithiophilic current collectors. Bilayer lithiophilic coatings are introduced to overcome the structural fragility of conventional single‐layer current collectors in zero‐excess Li‐metal batteries (ZE‐LMBs). By integrating density functional theory with electrochemical analyses, the Ag‐outer/Pt‐inner configuration enables uniform Li deposition, robust SEI formation, and persistent lithiophilicity, delivering remarkably stable and long‐lasting cycling performance in Cu||NMC811 full cells.

Deep learning-based applications have great potential to enhance the quality of medical services. The power of deep learning depends on open databases and innovation. Radiologists can act as important mediators between deep learning and medicine by simultaneously playing pioneering and gatekeeping roles. The application of deep learning technology in medicine is sometimes restricted by ethical or legal issues, including patient privacy and confidentiality, data ownership, and limitations in patient agreement. In this paper, we present an open platform, MI2RLNet, for sharing source code and various pre-trained weights for models to use in downstream tasks, including education, application, and transfer learning, to encourage deep learning research in radiology. In addition, we describe how to use this open platform in the GitHub environment. Our source code and models may contribute to further deep learning research in radiology, which may facilitate applications in medicine and healthcare, especially in medical imaging, in the near future. All code is available at https://github.com/mi2rl/MI2RLNet.

Li metal batteries (LMBs) offer high energy density but suffer from Li dendrite growth and unstable solid–electrolyte interphase (SEI). Beyond conventional liquid systems, nanocolloid electrolytes (NCEs) incorporating insoluble nanoparticles dispersed in liquid electrolytes have emerged to mediate Li+ solvation and SEI formation, which are key factors governing Li dendrite suppression. Nonetheless, their practical application has been limited by an intrinsic trade‐off between nanoparticle surface area and colloidal stability. To address this limitation, we propose an intrapore‐structuring strategy that enables facile Li+ transport and efficient SEI regulation. Incorporating well‐ordered mesopores into SiO2 nanobeads achieves high surface area while retaining dispersibility by alleviating interparticle attraction. The intrapore‐structured NCE alleviates viscosity increase, enhances anion mediation at the interface, and thereby effectively suppresses Li dendrite growth while promoting the buildup of anion‐derived SEI. The LMB employing the intrapore‐structured NCE demonstrates cycling stability over 300 cycles at 70% capacity retention and fast‐charging capability up to 3 C, far outperforming NCEs using nonporous nanobeads and 7 nm‐sized nanoparticles. This work establishes intrapore‐structuring as a new design principle for realizing the practical potential of NCEs in LMBs. Intrapore‐structured nanocolloid electrolyte (IPS‐NCE) reinforces the mediating role in Li+ solvation, facilitating anion‐derived SEI formation and effectively suppressing Li dendrite growth. By alleviating interparticle attraction, IPS‐NCE attains high dispersibility and low viscosity while enlarging active surface area. This design demonstrates the practical potential of NCEs, enabling excellent cycling stability and fast‐charging capability in Li metal batteries.

Despite the promises in high‐energy‐density batteries, Li‐metal anodes (LMAs) have suffered from extensive electrolyte decomposition and unlimited volume expansion owing to thick, porous layer buildup during cycling. It mainly originates from a ceaseless reiteration of the formation and collapse of solid‐electrolyte interphase (SEI). This study reveals the structural and chemical evolutions of the reacted Li layer after different cycles and investigates its detrimental effects on the cycling stability under practical conditions. Instead of the immediately deactivated top surface of the reacted Li layer, the chemical nature underneath the reacted Li layer can be an important indicator of the electrolyte compositional changes. It is found that cycling of LMAs with a lean electrolyte (≈3 g Ah−1) causes fast depletion of salt anions, leading to the dynamic evolution of the reacted Li layer structure and composition. Increasing the salt‐solvent complex while reducing the non‐solvating diluent retards the rate of depletion in a localized high‐concentration electrolyte, thereby demonstrating prolonged cycling of Li||NMC622 cells without compromising the Li Coulombic efficiencies and high‐voltage stability. Looking underneath the reacted Li layer reveals its structural and chemical evolutions. Contrary to the flooded electrolyte, the reacted Li layer developed at lean electrolyte suffers from incremental deterioration and engenders the cycling history as an important indicator of electrolyte compositional changes, delivering a clue for electrolyte design principle for stable cycling of Li‐metal batteries under stringent conditions.

Introduction Traditionally, positive airway pressure (PAP) therapy is initiated in a face-to-face visit. This can be a barrier to accessing care for rural Veterans. The COVID-19 pandemic led to the implementation of telehealth PAP set-ups at two large VA sleep centers providing an opportunity to assess the effectiveness of telehealth versus face-to-face PAP initiation in rural Veterans. Methods We performed a retrospective cohort study of rural Veterans (defined by the Rural-Urban Commuting Areas system) to compare outcomes for those who initiated PAP with in-person visits prior to the COVID-19 pandemic to those who initiated PAP with telehealth during the COVID-19 pandemic. We assessed the days of PAP use, hours of PAP use and residual Apnea Hypopnea Index (AHI) at 30-day and 90-day intervals in these two groups. We excluded individuals who received a replacement device, and those who received PAP on or after June 14, 2021, due to a safety recall of PAP devices that may have affected use. Results PAP initiation data was available for 93 individuals, approximately half of whom were initiated on PAP in-person (n=46) and half by telehealth (n=47). There were no significant differences between the in-person and telehealth groups in terms of age, BMI, and AHI, which were 57.23±16 vs 60.67±14 (mean±SD), 31.81±5 vs 31.99±13, and 27.52±23/hr vs 28.85±22/hr respectively. The average number of days per month with PAP use at 30-day and 90-day intervals for in-person vs telehealth set-up was 17.59±11 vs 15.38±12 (p=0.36) and 15.54±13 vs 14.11±14 (p=0.60) respectively. The average number of hours of PAP use at 30-days and 90-days for in-person vs telehealth set-up was 3.25±3 vs 3.11±3 (p=0.82) and 3.15±3 vs 3.07±3 (p=0.90) respectively. The residual AHI at 30-days and 90-days for in-person vs telehealth set-up was 6.61±8/hr vs 5.25±6/hr (p=0.37) and 6.35±8/hr vs 7.68±11/hr (p=0.60) Conclusion In this cohort of rural Veterans, there were no significant differences in outcomes for those who initiated PAP therapy via telehealth when compared to in-person. This supports the feasibility of more widespread implementation of telehealth services for treatment of OSA in order to improve access without compromising patient outcomes. Support (if any) VA OCC FY21 RFA, VAGLAHS GRECC, K24HL143055

The Front Cover depicts the intelligent regulation of the Li+ microenvironment by nanocolloidal electrolytes (NCEs). Nanoparticles in the NCEs can interact with ionic species, providing a surface Li+ diffusion pathway for hybrid ion transport and partly immobilizing the anions, thereby improving selective Li+ transport. Moreover, nanoparticles can serve as “nanorobots” in modifying the Li+ solvation structure by interacting with solvents and additives, manipulating interfacial reactions upon SEI buildup at the Li metal surfaces, and thus smartly customizing the SEI chemistry. More information can be found in the Review Article by Hongkyung Lee and co‐workers.