Anemia News and Research

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Anemia is a decrease in normal number of red blood cells (RBCs) or less than the normal quantity of hemoglobin in the blood. However, it can include decreased oxygen-binding ability of each hemoglobin molecule due to deformity or lack in numerical development as in some other types of hemoglobin deficiency. The three main classes of anemia include excessive blood loss (acutely such as a hemorrhage or chronically through low-volume loss), excessive blood cell destruction (hemolysis) or deficient red blood cell production (ineffective hematopoiesis). Anemia is the most common disorder of the blood. There are several kinds of anemia, produced by a variety of underlying causes. Anemia can be classified in a variety of ways, based on the morphology of RBCs, underlying etiologic mechanisms, and discernible clinical spectra, to mention a few.
Kyoto scientists reveal characteristic behaviors of erythropoietin-producing cells

Kyoto scientists reveal characteristic behaviors of erythropoietin-producing cells

Researchers explore disease severity post-infection with SARS-CoV-2 Omicron in hematologic patients

Researchers explore disease severity post-infection with SARS-CoV-2 Omicron in hematologic patients

The effect on newborns’ health from marijuana use during pregnancy

The effect on newborns’ health from marijuana use during pregnancy

Oral pill taken once a day improves outcomes of patients with myelofibrosis

Oral pill taken once a day improves outcomes of patients with myelofibrosis

Nectar of common plants could be used to help fight Leishmania infections

Nectar of common plants could be used to help fight Leishmania infections

Study finds TGF-β2 associated with asymptomatic mild SARS-CoV-2 infection during pregnancy

Study finds TGF-β2 associated with asymptomatic mild SARS-CoV-2 infection during pregnancy

Serological biomarker predicts severe Crohn's disease seven years prior to diagnosis

Serological biomarker predicts severe Crohn's disease seven years prior to diagnosis

New, minimally invasive biomarker-based strategy 90% successful in detecting esophageal cancer

New, minimally invasive biomarker-based strategy 90% successful in detecting esophageal cancer

Cannabidiol for Parkinson's disease symptom management

Cannabidiol for Parkinson's disease symptom management

Is type 1 diabetes likely to rise after the COVID pandemic?

Is type 1 diabetes likely to rise after the COVID pandemic?

UrFU researchers propose the use of polyoxometallate nanoclusters as chemotherapy drug carrier

UrFU researchers propose the use of polyoxometallate nanoclusters as chemotherapy drug carrier

World Malaria Day 2022: How the knockdown of P. falciparum RAP01 and RAP21 proteins could lead to novel antimalarial therapeutics

World Malaria Day 2022: How the knockdown of P. falciparum RAP01 and RAP21 proteins could lead to novel antimalarial therapeutics

Efficacy of vaccination against SARS-CoV-2 Omicron BA.1 and BA.2 sublineages in Sweden

Efficacy of vaccination against SARS-CoV-2 Omicron BA.1 and BA.2 sublineages in Sweden

Texas A&M AgriLife scientists receive grant to fight pesticide-resistant cattle fever ticks

Texas A&M AgriLife scientists receive grant to fight pesticide-resistant cattle fever ticks

New therapeutic option for HPV-positive head and neck carcinoma discovered

New therapeutic option for HPV-positive head and neck carcinoma discovered

New short-course treatment effective against HIV-associated cryptococcal meningitis

New short-course treatment effective against HIV-associated cryptococcal meningitis

COVID-19 may affect a group of biochemical reactions called one-carbon metabolism

COVID-19 may affect a group of biochemical reactions called one-carbon metabolism

Therapies for LGL leukemia should target the immune system, not only cancer cells

Therapies for LGL leukemia should target the immune system, not only cancer cells

Drugs targeting DNA damage response pathway show therapeutic potential against advanced solid tumors

Drugs targeting DNA damage response pathway show therapeutic potential against advanced solid tumors

Researchers develop universal AI algorithm to "clean" noisy single-cell RNA sequencing data

Researchers develop universal AI algorithm to "clean" noisy single-cell RNA sequencing data

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