COVID-19 has continued to claim lives in 2023, killing more than 50 thousand patients in the United    States alone and bringing the global death toll to almost seven million    people. The pandemic has also created an epidemic of    survivors who continue to suffer from long COVID. But it    wasnt all bad news in 2023.  
    With more people becoming immune against the virus, the World    Health Organization decided, on May 5, that COVID-19 no longer    constitutes a public health emergency of international concern.    Updated boosters of existing vaccines helped reduce the number    of cases, hospitalizations, and deaths, and a new COVID vaccine from Novavax was approved    this year.  
    Aside from COVID-19 vaccines, there were many other interesting    and groundbreaking discoveries made this year, some of which    are especially notable for their potential impact on health and    medicine.  
    The worlds first CRISPR-based gene therapy was approved by    drug regulators in the United Kingdom on    November 16, and the U.S. on December    8. It treats sickle cell disease and beta thalassemia,    genetic disorders that affect the red blood cells. Hemoglobin,    found in red blood cells, carries oxygen around the body. The    errors in hemoglobin genes create fragile red blood cells that    cause a shortage of oxygen in the body, a condition known as    anemia. Patients with sickle cell disease also suffer from    infections and severe pain when sickled cells form clots and    impede blood flow, while patients with beta thalassemia must    receive blood transfusion every three to four weeks.  
    The newly approved gene therapy, named CASGEVY,    corrects faulty hemoglobin genes in a patients bone marrow    stem cells so they can produce functioning hemoglobin. A    patients stem cells are harvested from their bone marrow,    edited in a laboratory, and then infused back into the patient.    A single treatment can potentially cure some patients for life.  
    Two inventors who fine-tuned CRISPR (short for clustered    regularly interspaced short palindromic repeats) to work as a    precise gene-editing tool, Emmanuelle Charpentier and Jennifer Doudna,    were awarded the Nobel Prize in Chemistry just three years ago    in 2020.  
    This is just the first of dozens of potential treatments in    development to treat other genetic diseases, cancer, or even infertility.  
    The U.S. Food and Drug Administration approved    the first drug for Alzheimers that targets one underlying cause of the disease. While the    drug, Leqembi, isn't a cure or improve symptoms in late-stage    disease, after 18 months of treatment it slows declines in    memory and thinking by about 30 percent if the medicine is given in the early    stage of disease.  
    Leqembi is a monoclonal antibody that works by targeting    amyloid plaques in the brain that are a    defining feature of Alzheimers disease. When abnormal levels    of a naturally occurring protein, called beta amyloid, clump    together to form sticky plaques in brain, they trigger    inflammation and damage neuronal connections. Accumulation of    amyloid plaques leads to loss of memory and thinking causing    Alzheimers disease.  
    Clinical trials indicate that Leqembi removes amyloid plaques from the brain,    which slows the progression of the disease.  
    Yes, you read that right. Researchers from Japan presented evidence at a scientific conference that    it is possible to produce healthy, fertile mice without an egg    from a female mouse.  
    First, eggs were made from the stem cells derived from the skin    cells of a male mouse. These eggs were fertilized with sperm of    another male and then the fertilized egg was transferred into a    female mouse where it grew and matured.  
    Although just seven out of more than 600 implanted embryos    developed into baby mice, the pups grew normally and were    fertile as adults.  
    It is not yet known if the mouse pups will develop exactly like    those born through conventional breeding. These findings have    not yet been published in a peer reviewed journal and similar    preliminary steps have so far failed in    humans.  
    Scientists have produced the first complete brain-wiring diagram of an insect    brain. This may not sound impressive but the brain, even    that of a fruit fly, contains vast networks of interconnected    neurons called the connectome.  
    Until now, only the brains of a roundworm, a sea squirt, and a    marine worm have been completely mapped; each of which contains    just a couple of hundred connections.  
    But a complete map of the connectome of a fruit fly larva    reveals it contains more than 3,000 neurons and more than half    a million connections between them. Developing this map took an    international team of scientists more than five years. Although    a fruit fly brain is much simpler than that of humans, the    techniques developed will help map more complex brains in the    future.  
    The neural circuits In the fruit fly brain look similar to    neural networks used in machine learning. Understanding the    similarities and complexities of the fly brain connectome can    help to decipher how the human brain works and how neurological    diseases develop. It can also lead to the development of new    machine learning methods and more efficient artificial    intelligence systems.  
    Scientists show that when pigment-producing cells,    called melanocytes, get stuck in an immature state, they fail    to develop their blonde, brown, red, or black, hair color. This    arrested state leads to graying hairs. New hair grows from    follicles, found in the skin, where melanocytes also reside.  
    The scientists at New York University observed single    melanocyte stem cells migrate up and down the individual hair    folicle of mice over two years. To their surprise, they found    that melanocyte stem cells can switch back and forth from gray    immature stem cells to mature colored cells as they traverse up    and down during the life cycle of the hair. But as hair ages,    the melanocyte stem cells get sluggish after multiple cycles    and become trapped near the base of the hair as immature    melanocytes. With no pigment being produced, the hair turns    gray.  
    Scientists have found that some bacteria that are frequently found    in many gastrointestinal tract tumors directly help cancer    cells evade the bodys immune response.  
    Not only do these bacteria cooperate with tumor cells to    promote cancer progression, they also help them spread more    rapidly by breaking down anticancer drugs and causing the    treatment to fail.  
    This research suggests that some anticancer drugs are effective because they also kill the tumor dwelling    bacteria. Understanding how the tumor's microenvironment    affects its survival and progression can open new doors of    treating cancer.  
    A new artificial intelligence (AI) tool can predict pancreatic cancer up to three years    before actual diagnosis, by identifying specific patterns of    conditions that occurred in patients health records.  
    Pancreatic cancer is rare but it is the third largest cause of cancer-related deaths.    It is so deadly because it is generally detected in the late    stages when the disease has already spread to other areas of    body.  
    Symptoms of early stage pancreatic cancer are easily misdiagnosed,    but many patients could live longer if the    cancer was detected early. That led scientists to train an AI    algorithm on the medical records of 6.2 million people from    Denmark spanning 41 years to detect the patterns hidden in the    records of 24,000 patients who later developed pancreatic    cancer.  
    In the medical records, each disease is recorded with a code.    The AI model analyzed the combinations of these disease codes    and the timing of their occurrence. By comparing specific    sequences of conditions that preceded a diagnosis of pancreatic    cancer, the AI model learned to identify those at greatest risk    for the disease.  
    The scientists then tested the AI tool by analyzing the records    of nearly 3 million U.S. veterans spanning 21 years. The    computer algorithm correctly identified almost 4,000    individuals, up to three years before they were actually    diagnosed with pancreatic cancer. The study shows that AI    models can be as accurate as genetic testing in predicting the    risk of pancreatic cancer. Because pancreatic cancer is so    rare, genetic screening is currently recommended only for high risk    individuals, or with those with a family history of the    disease.  
    Editor's Note: This story has been updated to include news that    the FDA approved gene therapies for sickle cell disease.  
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7 medical breakthroughs that gave us hope in 2023 - National Geographic