Complex systems modeling often relies on emergent behavior, meaning that the overall system's behavior isn't simply the sum of its parts, but arises from the interactions between those parts.
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Oncology is a branch of medicine that deals with the prevention, diagnosis, and treatment of cancer. It's a surprisingly broad field, encompassing many subspecialties focusing on specific cancer types or treatment modalities.
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Reverse engineering was crucial in the early days of the personal computer revolution, as programmers often reverse-engineered existing software to understand how it worked and create compatible programs, due to limited documentation.
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Rehabilitation often incorporates virtual reality (VR) technology to help patients regain motor skills and overcome phobias in a safe and controlled environment.
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Trauma can affect the body's ability to regulate its stress response, even long after the event has passed, leading to persistent physical symptoms.
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Telehealth can be used to monitor patients' vital signs remotely, sometimes even without the need for wearable devices, using just a smartphone camera.
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Therapies targeting the gut microbiome are showing promise in treating conditions far beyond digestive issues, including some neurological and autoimmune diseases.
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The 1918 influenza pandemic, often called the Spanish Flu, infected an estimated 500 million people—about one-third of the world's population at the time.
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Personalized medicine may use pharmacogenomics to tailor drug choices and dosages based on a patient's genetic makeup, potentially reducing side effects and improving treatment efficacy.
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The word "vaccine" comes from the Latin word *vacca*, meaning "cow," referring to Edward Jenner's use of cowpox to vaccinate against smallpox.
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Epidemiology played a crucial role in understanding and controlling the spread of the Black Death, even though the germ theory of disease wasn't yet established. Observations about patterns of illness and death helped inform early quarantine efforts.
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Some neuroprosthetics use machine learning algorithms to improve their control and responsiveness over time, effectively "learning" from the user's brain signals.
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