Frequency of re-admissions, survival and death among patients. by Akram Yazdani (6723500)

Baseline survival functions for mortality and recurrent events (joint frailty model). by Akram Yazdani (6723500)

Baseline characteristics and their comparisons between surviving status of COVID-19 patients with re-admissions. by Akram Yazdani (6723500)

Factors affecting recurrent of hospitalization and survival of COVID-19 patients using joint frailty model. by Akram Yazdani (6723500)

Incidence and fitting values of Hepatitis predicted by three neural network models. by Zhaohui Xia (9406284)

Image_3_The Affinity of Hemoglobin for Oxygen Is Not Altered During COVID-19.TIF by Thomas Gille (10584065)

“…The authors hypothesized that this phenomenon could result in a decreased oxygen (O₂) binding and lead to hemolytic anemia as well. …”

Table_2_The Affinity of Hemoglobin for Oxygen Is Not Altered During COVID-19.DOCX by Thomas Gille (10584065)

“…The authors hypothesized that this phenomenon could result in a decreased oxygen (O₂) binding and lead to hemolytic anemia as well. …”

Image_2_The Affinity of Hemoglobin for Oxygen Is Not Altered During COVID-19.TIF by Thomas Gille (10584065)

“…The authors hypothesized that this phenomenon could result in a decreased oxygen (O₂) binding and lead to hemolytic anemia as well. …”

Table_3_The Affinity of Hemoglobin for Oxygen Is Not Altered During COVID-19.DOCX by Thomas Gille (10584065)

“…The authors hypothesized that this phenomenon could result in a decreased oxygen (O₂) binding and lead to hemolytic anemia as well. …”

Image_4_The Affinity of Hemoglobin for Oxygen Is Not Altered During COVID-19.TIF by Thomas Gille (10584065)

“…The authors hypothesized that this phenomenon could result in a decreased oxygen (O₂) binding and lead to hemolytic anemia as well. …”

Results of the Implementation of a Pilot Model for the Bidirectional Screening and Joint Management of Patients with Pulmonary Tuberculosis and Diabetes Mellitus in Mexico by Martín Castellanos-Joya (630597)

“…Multiple linear regression analysis with change in HbA1c and random capillary glucose as dependent variables revealed significant decrease with time (regression coefficients (β)  = −0.660, (95% confidence interval (CI), −0.96 to −0.35); and β = −1.889 (95% CI, −2.77 to −1.01, respectively)) adjusting by sex, age and having been treated for a previous TB episode. …”

X‑ray Structure-Guided Discovery of a Potent Benzimidazole Glutaminyl Cyclase Inhibitor That Shows Activity in a Parkinson’s Disease Mouse Model by Jun Mou (4113313)

Overview of all epidemiological and clinical data from RT-PCR positives individuals. by Thiago Silva Frauches (13822408)

Incidence of Covid-19 in the study. by Thiago Silva Frauches (13822408)

Overview of sociodemographic and epidemiological data in all three studies. by Thiago Silva Frauches (13822408)

Overview of vaccination profile of all participants in the three rounds of the study. by Thiago Silva Frauches (13822408)

Fully vaccinated groups distribution. by Thiago Silva Frauches (13822408)

Percentage of anti-SCOV2 immunoglobulin positivity in each study cycle. by Thiago Silva Frauches (13822408)

Characterization of the impact of glucose/galactose on infection outcomes. by Tyron Chang (9922533)

Baseline characteristics and oxidative profiling. by Summan Thahiem (20988319)