Background:
First-line treatment for major depressive disorder (MDD) include cognitive behavioral therapy (CBT) and/or antidepressant medications (ADM). However, these treatments can be highly effective in one patient but ineffective in another. Previous treatment selection biomarker studies using resting state fMRI implicate differential subcallosal connectivity to the left anterior insula, left ventromedial prefrontal, and left periaqueductal gray in CBT and medication remitters (Dunlop AJP 2017). Structural connectivity changes that might mediate these functional connectivity patterns are unknown. Therefore, we evaluated pretreatment White matter (WM) integrity in treatment naïve MDD patients as a function of differential 3-month clinical outcome to monotherapy with CBT or ADM. 
Methods
A retrospective analysis of diffusion-weighted imaging scans (DWI) was performed in 167 treatment naive MDD patients randomized to 12 weeks of CBT or ADM. Subjects were grouped into CBT or ADM remitters (HDRS17 score <7 at 10 and 12 weeks) and CBT or ADM failure (HDRS score change <30%). A Whole brain fractional anisotropy (FA) map was calculated for each subject using Fdt toolbox in FMRIB and Tract-Based Spatial Statistics (TBSS) generated for statistical comparison across outcome groups. A voxel-wise 2 x 2 ANOVA: treatment (CBT/ADM) by outcome (remitter/nonresponder) was performed using the AFNI 3dMVM toolbox. Lastly, regional WM changes were correlated with HDRS score changes with treatment. 
Results
A significant treatment by outcome interaction was identified affecting WM tracts adjacent to the left anterior insula, left supplementary motor area, and left hippocampus (p < 0.001). Post hoc analysis revealed ADM remitters and CBT nonresponders show higher FA values in the left insula and SMA compared to both ADM nonresponders and CBT remitters, similar to the location and differential pattern of functional connectivity. In contrast, ADM remitters and CBT nonresponders show lower FA in the left hippocampus compared to ADM nonresponders and CBT remitters. The left SMA and hippocampus showed significant correlation (R2=0.05 p<0.005) with HDRS score improvement in all groups. The VMPFC and SMA showed similar results within the ADM group. The CBT group showed significant correlation with the DLPFC (R2=0.17 p<0.005).
Conclusion
These findings identify differential WM integrity in WM tracts adjacent to the insula, SMA, and hippocampus in remitters and failures to CBT and ADM. These structural and functional connectivity patterns may define imaging biotypes that guide optimal first line MDD treatment selection. Finally, these findings implicate WM connectivity in differential predictive outcomes in MDD treatment success by treatment.

White matter markers for treatment outcomes in major depressive disorder

Introduction

Adverse outcomes and complications relating to SARS-CoV-2 (COVID-19) infection may be influenced by a number of factors, including pre-existing comorbidities and past medical history. Despite traumatic brain injury (TBI) being a public health crisis worldwide, the relationship between the prevalence of a recent TBI and adverse outcomes following COVID-19 infection remains poorly understood. This study aims to identify whether patients with a recent TBI face increased risk of mortality and adverse outcomes associated with COVID-19, as compared to patients without a recent TBI.

Methods

We queried the TriNetX United States Collaborative Network and identified patients with a recent TBI within 1 year of a hospital encounter for COVID-19. A propensity-match analysis was performed using baseline demographics and past medical history to compare patients with a recent TBI and COVID-19 to a cohort of patients with COVID-19 without recent TBI. We collected outcome measures within 1 month of COVID-19 diagnosis relating to overall mortality, intensive care unit (ICU) admission, and in-hospital complications. A Kaplan-Meier survival (KMS) analysis was performed to determine overall survival differences.

Results
A total of 13,970 patients were identified in each cohort. The mean age was 59 years old, and over 51% of patients were male. Compared to patients without a recent TBI, patients with a recent TBI had increased risk of hospitalization (OR 3.7 [95%-CI 3.5-4.0]; p<0.001), intubation (OR 2.4 [95%-CI 1.9-3.0]; p<0.001), ICU admission (OR 3.7 [95%-CI 3.3-4.0]; p<0.001), respiratory failure (OR 1.5 [95%-CI 1.4-1.6]; p<0.001), hepatic injury (OR 1.7 [95%-CI 1.3-2.3]; p=0.001), and overall mortality (OR 2.5 [95%-CI 2.2-2.8]; p<0.001) within 1 month of COVID-19 diagnosis. Recent TBI patients had reduced risk of cardiac injury (OR 0.8 [95%-CI 0.7-0.9]; p<0.001). KMS analysis demonstrates that patients with prior TBI had increased mortality within 1 month of COVID-19 diagnosis (HR 2.5 [95%-CI 2.2-2.9]; p<0.001).

Conclusion 

Patients with recent TBI up to 12 months prior to a separate hospital encounter for COVID-19 diagnosis have increased risk of hospitalization, intubation, ICU admission, respiratory failure, hepatic injury, and overall mortality within 1 month of COVID-19 diagnosis. We hope that these results improve medical decision-making and management of patients with a recent TBI and COVID-19. 


The Impact of a Traumatic Brain Injury Within 1 Year of COVID-19 Infection: A Propensity-Match Analysis

Background
Links between cancer and microbes date back four millennia (Sepich-Poore et al. 2021. Science). Recently, we showed that microbial DNA is detectable in tumor tissues and patient blood from dozens of human cancer types (Poore et al. 2020. Nature; Narunsky-Haziza et al. 2022. Cell), suggesting that cell-free microbial DNA (cf-mbDNA) could augment human-centric liquid biopsies of cancer, which currently lack sensitivity at early-stage disease. Thus, we set out to build and evaluate the first multi-omic, multi-species (human+microbe) blood tests for early-stage lung cancer detection with two intended use populations: screening-eligible individuals without known disease (i.e., a “rule-in” test with high specificity), and lung nodule-bearing individuals (i.e., a “rule-out” test with high sensitivity).

Methods
We created a cancer-specific, microbial reference database using ¬de novo metagenome assembly on non-human DNA from 5187 whole-genome sequenced blood and tumor tissue samples. This microbial database was bioinformatically evaluated across 18,782 samples and ten international cohorts, with predictions made using machine learning. Diagnostic performance was measured with and without the addition of human analytes to test for synergy. Source tracking was performed among paired lung tumors, pre-operative plasma, and post-operative plasma to identify what proportion of cf-mbDNA was tumor derived. After tuning the tests using discovery cohort samples, we applied them to validation cohorts comprising (i) screening-eligible individuals without known disease and (ii) lung nodule-bearing individuals.

Results
Microbial DNA discriminated blood samples from 24 cancer types simultaneously with an average pairwise area under the receiver operating characteristic (AUROC) curve of 95.5%. A median of 81.4% of cf-mbDNA was directly attributable to intratumoral microbial DNA via source tracking, indicating its predominant tumor origin. The addition of human cell-free tumor DNA (ctDNA) fragments and two plasma-derived proteins (CEA, osteopontin (OPN)) to cf-mbDNA significantly and synergistically improved diagnostic performance (Delong’s test: p<0.001). Application of the joint host+microbial test to screening-eligible, stage I lung cancers versus healthy smokers showed a sensitivity of 68.2% at 96.2% specificity. Then, collectively across two independent validation cohorts comprising lung nodule-positive individuals, the test significantly outperformed PET-CT and clinical risk scores, with an overall specificity of 49.5% at 95.7% sensitivity.

Conclusion
A multi-omic, multi-species test diagnoses early-stage lung cancer better than existing methods. In January 2023, the FDA provided Breakthrough Designation status for this approach to determine malignancy likelihood of lung nodules for patients who refuse or lack access to PET-CT testing.

Early-stage detection of lung cancer using a multi-omic, multi-species test

Background
Digital microscopy is becoming increasingly popular in the fields of pathological education, tissue-based research, and clinical diagnosis, offering many advantages over light microscopy. With technological advancements and the ease of proliferation of reads across digital methods, pathologists now can view slides across different centers in real time, which allows for a plethora of new modalities of treatment that were not available before due to the limitations of handling slides, such as teleconsultation, quality assurance, and collaborative efforts. The aim of this study was to compare digital versus light microscopy in kidney transplant biopsies at independent sites in the context of a large, multi-center clinical trial [Clinical Trials in Organ Transplantation (CTOT-08) NCT01289717]. 
Methods
The primary objective of this pilot study is to compare digital versus light microscopy in diagnostic kidney transplant biopsies across multiple centers to validate its use in multi-center clinical trials. To achieve this objective, we aim to quantify the level of intra-rater variability by comparing the same reads (cases) across various diagnoses from pathologists at multiple sites between microscopy platforms (digital vs. light). A secondary aim is to evaluate the extent of inter-rater variability, regardless of the platform. For 32 randomly chosen transplant kidney biopsies, glass slides and corresponding digital images were assessed by 3 pathologists in a blinded and randomized fashion. The glass slides were scanned as high-resolution images and viewed with computer software. 
Results
Pathology reads from digital microscopy were comparable to light microscopy with respect to overall diagnosis and individually quantified Banff 2007 criteria. Our analysis revealed no significant differences within raters (intra-rater variability) between the two platforms for the primary diagnoses of acute cellular rejection (ACR) (p=0.646 light vs. digital), interstitial fibrosis and tubular atrophy (i.e., “chronic Injury”) (p=0.317) or borderline ACR (p=0.805) In contrast, the pairwise kappa statistics among raters revealed lower levels of agreement for borderline rejections and chronic injury when compared to acute cellular rejection.
Conclusion
Digital microscopy of kidney allograft biopsies is reliable and comparable to traditional light microscopy. The use of digital microscopy enables improved collaboration and allows for central or duplicate reading of kidney transplant biopsies in the context of a large, multi-center clinical trial. This pilot study confirmed the reliability of digital microscopy when compared to standard light microscopy but showed a low level of agreement among pathologists for some diagnoses, stressing the importance of refined criteria and alternative methods to enhance diagnostic accuracy.




Digital versus light microscopy in kidney transplant biopsies: A multicenter evaluation comparison pilot study

Using deep learning to augment radiologist interpretation of brain MRIs for Alzheimer’s disease

Background
Healthcare disparity is the United States has been a long-standing issue. A disease of interest is diabetic retinopathy, one of the leading causes of blindness in the United States, as the minorities are disproportionately affected. Treatment regimens often consist of panretinal photocoagulation (PRP) and intravitreal injections (IVI) with anti-vascular endothelial growth factor (anti-VEGF). However, the efficacy of the treatment regimens as demonstrated in clinical trials have been limited in real-world settings as these necessitate frequent follow-ups, a challenge given that 25 to 51% of patients with diabetic retinopathy are lost to follow-ups. Furthermore, the effect of LTFU in itself on final outcomes have not been studied to date. Therefore, we examined factors associated with LTFU, the effect of LTFU on proliferative diabetic retinopathy, and its interaction with different treatments.

Methods
A retrospective cohort study at a large safety net hospital examined 271 eyes of 271 patients with PDR that received PRP or IVI over a 2-year period. LTFU was defined as failure to return to care for at least 6 months. Baseline patient characteristics were collected. Ocular data was gathered at the visit before being LTFU, the return visit after being LTFU, and the final clinic visit. Univariate analyses and multivariate regression with adjustment for multiple comparisons to control confounders were conducted. 

Results
A history of LTFU was associated with subsequent neovascularization elsewhere (NVE) and tractional retinal detachment (TRD) but not with final visual acuity (VA). Among those LTFU, those who received IVI were not at higher risk of TRD than those receiving PRP.

Conclusion
Undergoing PRP is associated with LTFU. LTFU is independently associated with subsequent development of NVE and TRD, but not with the final visual acuity. One rationale in opting for PRP over IVI for managing PDR was the risk of the patient being LTFU, but our study did not demonstrate a difference between those who received PRP prior to LTFU and those who received IVI prior to LTFU in terms of the rate of subsequent TRD formation. Further studies should expand upon those findings to design better interventions strategies. 


Out of Sight, Not Out of Mind: The Effect of Loss to Follow-Up on on Proliferative Diabetic Retinopathy

Objective: Femoral endarterectomy is a common vascular procedure. Previous data have shown that it is associated with elevated risk of surgical site infection (SSI) that is estimated to be 15% or higher. Obesity is a known risk factor for SSI. Presence of an overhanging pannus may be associated with increased risk of wound infections, due to decreased local hygiene and increased frictional forces. The aim of the current study was to study the relationship between pannus size and SSI after femoral endarterectomy performed at a rural tertiary medical center. 
Methods: Retrospective chart review was used to evaluate femoral endarterectomy performed between January 1, 2010 and December 31, 2019. Patients were excluded if they did not have a CTA or CT abdomen/pelvis within 6 months of endarterectomy. Cases were identified using CPT code, and basic demographic data and preoperative risk factors were identified. Incidence of postoperative wound infection was recorded. Perioperative CT scans were evaluated using TeraRecon to measure the area of the subcutaneous tissue overlying the common femoral artery on the operative leg, hypothesized to be a surrogate for pannus size. 
Results: The total number of participants was 250, with a 17% incidence of SSI. There was a significant difference in pannus size in those who developed postoperative SSI (30.5 cm2 ± 17.2 cm2) compared to those who did not (24.5 cm2 ± 13.7 cm2) (p =0.022). Pannus area was on average 6cm2 larger in those who developed postoperative SSI. BMI, obesity, hypertension, and diabetes were associated with pannus area but were not strong predictors of SSI. BMI and pannus size were strongly correlated, although BMI was more variable as pannus size increased. A 5cm2 increase in pannus size was associated with an absolute relative risk of SSI of 1.10. In patients with pannus size ≤26cm2, 12% had an SSI; in patients with pannus >26cm2, 24% had an SSI; the relative risk of SSI for pannus >26cm2 was 1.99. 
Conclusions: This study highlights a novel method to measure pannus size, which is a stronger predictor than BMI alone for postoperative SSI after femoral endarterectomy. This can help guide preoperative risk identification and decision making, and assign more aggressive postoperative infection prevention measures to patients at risk of SSI.

Relation of pannus size to postoperative wound infection after femoral endarterectomy

Introduction: Hand-foot-mouth disease (HFMD) is a common childhood infectious disease. Atypical skin findings of HFMD, often associated with coxsackievirus A6 (CVA6), were first reported in 2008, with increasing reports worldwide since. Atypical lesions of HFMD often involve sites beyond the palms and soles and tend to have unusual, polymorphic morphology. 
Methods: A systematic review was conducted on clinical features and outcomes of pediatric HFMD with atypical cutaneous manifestations.
Results: Eighty-five studies were included, representing 1,359 cases with mean age 2.4 years and a male predominance of 61%. The most reported morphologies were vesicles (53%), papules (49%), and bullae (36%). Other morphologies included eczema herpeticum-like (19%), purpuric/petechial (7%), and Gianotti Crosti-like (4%). Common atypical sites included the arms and/or legs (47%), face (45%), and trunk (27%). CVA6 was identified in 63% of cases. Symptoms resolved in a mean of 10 days. Overall, 16% of cases received treatment, most commonly with acyclovir, intravenous antibiotics, or topical steroids. The most common complications were nail changes (21%) and desquamation (4%) which occurred a mean of three and two weeks after symptoms, respectively. 
Conclusion: Due to unusual morphologies resembling other conditions, HFMD with atypical cutaneous findings may be misdiagnosed, leading to inappropriate and unnecessary investigations, hospitalization, and treatment. Greater awareness of atypical presentations of HFMD is warranted to improve patient care and counseling on infection control precautions.

Atypical Cutaneous Findings of Hand-Foot-Mouth Disease in Children: A Systematic Review

Background
Pack-year history is an invaluable clinical tool for measuring tobacco-associated disease risk and determining eligibility for lung cancer screening with low-dose computed tomography. Patient-reported measures of smoking history have demonstrated strong test-retest reliability across various survey methods, but the variation between research and clinical settings suggests that non-standardized smoking history interview questions in community practice may not always reveal the true extent of a patient’s tobacco exposure. To date, no study has compared patient responses to differently phrased questions assessing the same measure of smoking history. We hypothesize there is a significant discordance between patient-reported number of years smoked and calculated elapsed time between age at initiation and age at cessation (or present age if current smoker).

Methods
This was a two-month prospective survey-based study conducted at the Western Michigan University Homer Stryker M.D. School of Medicine's Internal Medicine resident clinic in Kalamazoo, Michigan, including patients with a documented smoking history in their electronic medical records. Through verbal interviews, we collected data on number of years smoked, packs per day, and age of smoking initiation/cessation. Primary outcome variables were total years smoked and calculated pack-years. Secondary outcome variables were gender, age, and age of smoking initiation.

Results
There were 124 respondents (36% male, 63% female, 1% non-binary) with an average age of 55 and average smoking history of 1.2 packs per day. Of them, 46% were current and 54% were former smokers. Using a paired sample one-tail t-test, we compared patient-reported years smoked (M=22.06, SD=12.44) to calculated years based on age of initiation/cessation (M=24.03, SD=13.53), which showed a significant mean difference of 1.97 years (95% CI 1.16- 2.78, t=4.05, p<0.001). This discordance translated to a 21.29% increase in pack-years (from 24.32 to 29.50 pack-years) and a mean difference of 5.21 pack-years (95% CI 1.04-9.38, t=2.07, p=0.02).

Conclusion
Our study underscores the importance of critically evaluating the ways in which we gather a patient’s smoking history. When compared to pack-years calculated using age of smoking initiation/cessation, our sample population tended to underestimate their exposure by over 5 pack-years—a clinically significant difference for someone at high risk who might not otherwise receive screening imaging. Often a pivotal moment in adolescence, participants recalled their age of smoking initiation with greater precision compared to their estimations of total exposure. These results call for urgent reevaluation of the tobacco history interview, its notation in electronic medical records, and the methodology of taking a substance abuse history in general.

Rethinking the Smoking History Interview: A Prospective Survey-based Study

Spalt-Like Transcription Factor 4 (SALL4), a member of the SALL family, is a regulator of embryonic stem cell development that plays a crucial role in cell renewal and proliferation. SALL4 expression is normally repressed in most adult organs but is reactivated in a multitude of solid and blood cancers and upon treatment with hypomethylating agents (HMA). There is outstanding clinical need for the development and validation of a less invasive SALL4 expression assay via peripheral blood, which can be used for monitoring patients on HMA treatment and SALL4-targeting therapy such as molecular glue degraders.

Using the Simoa (Single Molecule Array) platform, a bead-based digital enzyme-linked immunosorbent assay, we cross-tested 5 commercial SALL4 antibodies and 13 antibody pair combinations, using the best antibody pair to test the matrix effects of human plasma, buffy coats, and bone marrow aspirates. Quantitative assay development further included creating recombinant protein standards, antibody pair screening and validation, and pre-analytical optimization. Upon completion of these steps, a retrospective cohort analysis via patient peripheral blood samples is currently being conducted to validate assay accuracy and precision. Additionally, we are aiming to conduct prospective studies to explore the role of the SALL4 protein biomarker in risk stratification and treatment monitoring.

Thus far, for quantitative assay development, we have successfully expressed and purified full-length SALL4 which will be used to calibrate the standard curve and determine the assay’s limit of quantification. We also optimized multiple pre-analytic steps, including our cell lysis protocol, isolation of buffy coats using density gradient separation, and sample collection method comparison. The best antibody pair can detect both SALL4A and SALL4B isoforms, with stronger signal detected with the SALL4A isoform. For the retrospective cohort validation, we have obtained samples for analysis for liver cancer, myelodysplastic syndrome (MDS), and acute myeloid leukemia (AML) with plans to expand to breast cancer and lung cancer.

In conclusion, we have developed an ultrasensitive SALL4 protein expression diagnostic assay for use in monitoring patient treatment response and for guiding targeted therapy by analyzing peripheral blood for both solid and liquid tumors. Future steps include validating the diagnostic assay for specificity and sensitivity in a retrospective cohort analysis and conducting prospective studies to explore the role of the SALL4 protein biomarker for risk stratification, monitoring on HMA treatment, and guiding targeted therapy.

Ultrasensitive detection of SALL4 oncoproteins for the use in therapeutic monitoring

Glioblastoma Multiforme (GBM) is one of the most common and aggressive high-grade primary brain tumors that arises from the glial cells of the central nervous system and occurs most often in the frontal and temporal lobes. Despite current treatment options, long-term prognosis of GBM remains low with no significant improvement rates. Chimeric antigen receptor (CAR)-expressing T cells target the B cell marker CD19 and have shown increased efficacy in B cell lymphomas, and lymphoblastic leukemias suggesting benefits in GBM. This study aims to quantify the persistence of CAR-T cells in the context of GBM tumor volume following neurosurgical debulking procedure. A radiology software known as the mint Lesion was utilized to provide Tumor Response Assessment by Criteria (TRAC) reports that consist of volumetric measurements of the tumor lesions (target enhancing lesions, non-target enhancing lesions, and non-target non-enhancing lesions). Fluorescence-activated cell sorting (FACS) analysis takes a sample mixture of cells and sorts them into different populations based on specific biomarkers and characteristics. B7-H3 CAR-T cell persistence was increased in patients with a larger post-surgical tumor volume (3.04% Subject 001 with 2438 mm² volume and 2.38% Subject 003 with 224 mm² tumor volume). However, the number of CAR-T cells per 1 mm² was significantly reduced in patients with a larger post-surgical tumor volume (0.0012 cells/mm² Subject 001 and 0.010 cells/mm² Subject 003). This study shows that although there is an overall increased CAR-T cell persistence for a larger tumor volume, the number of CAR-T cells per 1 mm² is significantly smaller for larger tumor volumes, while illustrating that a larger post-surgical tumor bulk volume is correlated with an increased CAR-T cell persistence within 1-week post-infusion. These findings provide novel information and complement other correlative studies as part of the Phase 1 interventional clinical trial for glioblastoma patients.

Glioblastoma Multiforme Tumor Volume and Persistence of Chimeric Antigen Receptor T Cells Following Neurosurgical Debulking

Background: Life adversities, such as neighborhood disadvantage and lower household incomes, are associated with well-established impairments on language development, which predict academic difficulties throughout school. These language delays are observable by age 2, but it remains unclear if adversities experienced in utero affect neurological underpinnings of language development before delays emerge. Of interest are 3 white matter tracts implicated in early language skills: the corpus callosum (CC), inferior fronto-occipital fasciculus (IFOF), and uncinate (Unc).

Methods: A longitudinal cohort of 160 term-born (>36 weeks gestation) neonates were recruited from the eLABE study at Washington University, which oversampled St. Louis families exposed to poverty. Structural equation modeling was used to create 2 latent constructs of prenatal adversity. The first, “social disadvantage”, aggregates neighborhood disadvantage, family income, insurance status, maternal education, and diet. The second, “maternal psychosocial stress”, models maternal depression, stress, life adversities, and perceived discrimination. At birth, diffusion MRI data were collected, and parameters for white matter tract development were created using probabilistic tractography in FSL. In-person follow-up at age 2 evaluated child language skills. To assess the independent and interactive effects of prenatal adversities and neonatal white matter microstructure on language skills, stepwise linear regression models were conducted after adjustment for child sex, gestational age, and postmenstrual age at scan. 


Results: Prenatal social disadvantage (p=.00) and maternal psychosocial stress (p=.00) predicted significantly lower language scores by age 2. However, in a joint model, only the effects due to social disadvantage remained significant. Lower CC fractional anisotropy predicted significantly lower language scores (p=.02) independently of social disadvantage (p=.00). IFOF and Unc were not predictive of language ( p > .05). To examine the relationship between CC maturation and social disadvantage, a moderation analysis was conducted after dichotomizing families’ income into above and below 200% the federal poverty line (FPL), as most federal assistance programs use this value as a threshold for benefit eligibility. The interaction term was not significant (p= .11), but upon plotting results by income group, the slope for infants above 200% FPL was somewhat stronger. 

Conclusion: This study suggests that prenatal adversity, particularly social disadvantage, and immature CC myelination are strong predictors of language delays by age 2. These data can be used as empirical evidence to advocate for increased funding of federal assistance programs that benefit pregnant people (ex., WIC) and downstream fetal brain development. By continuing to explore the relationship between prenatal adversities on fetal brain development and emerging language skills, future studies will continue to identify specific neurological markers of early language development to allow clinicians to intervene before delays emerge.

Underline digital video library

White matter markers for treatment outcomes in major depressive disorder

The Impact of a Traumatic Brain Injury Within 1 Year of COVID-19 Infection: A Propensity-Match Analysis

Early-stage detection of lung cancer using a multi-omic, multi-species test

Digital versus light microscopy in kidney transplant biopsies: A multicenter evaluation comparison pilot study

Using deep learning to augment radiologist interpretation of brain MRIs for Alzheimer’s disease

Out of Sight, Not Out of Mind: The Effect of Loss to Follow-Up on on Proliferative Diabetic Retinopathy

Relation of pannus size to postoperative wound infection after femoral endarterectomy

Atypical Cutaneous Findings of Hand-Foot-Mouth Disease in Children: A Systematic Review

Rethinking the Smoking History Interview: A Prospective Survey-based Study

Ultrasensitive detection of SALL4 oncoproteins for the use in therapeutic monitoring

Glioblastoma Multiforme Tumor Volume and Persistence of Chimeric Antigen Receptor T Cells Following Neurosurgical Debulking

The Effects of Prenatal Adversity and Neonatal White Matter Microstructure on Child Language Skills at Age 2

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