Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
…
continue reading
Konten disediakan oleh Springer Nature. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Springer Nature atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang dijelaskan di sini https://id.player.fm/legal.
Player FM - Aplikasi Podcast
Offline dengan aplikasi Player FM !
Offline dengan aplikasi Player FM !
Cardiorespiratory signature of neonatal sepsis
MP3•Beranda episode
Manage episode 365442767 series 1455694
Konten disediakan oleh Springer Nature. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Springer Nature atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang dijelaskan di sini https://id.player.fm/legal.
Heart rate characteristics and demographic factors have long been used to aid early detection of late-onset sepsis, however respiratory data may contain additional signatures of infection. In this episode we meet Early Career Investigator Brynne Sullivan from the University of Virginia. She and her team developed machine learning models to predict late-onset sepsis that were trained on heart rate and respiratory data to provide a cardiorespiratory early warning system which outperformed models using heart rate or demographics alone. Read the full article here: https://www.nature.com/articles/s41390-022-02444-7
…
continue reading
533 episode
MP3•Beranda episode
Manage episode 365442767 series 1455694
Konten disediakan oleh Springer Nature. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Springer Nature atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang dijelaskan di sini https://id.player.fm/legal.
Heart rate characteristics and demographic factors have long been used to aid early detection of late-onset sepsis, however respiratory data may contain additional signatures of infection. In this episode we meet Early Career Investigator Brynne Sullivan from the University of Virginia. She and her team developed machine learning models to predict late-onset sepsis that were trained on heart rate and respiratory data to provide a cardiorespiratory early warning system which outperformed models using heart rate or demographics alone. Read the full article here: https://www.nature.com/articles/s41390-022-02444-7
…
continue reading
533 episode
Semua episode
×Selamat datang di Player FM!
Player FM memindai web untuk mencari podcast berkualitas tinggi untuk Anda nikmati saat ini. Ini adalah aplikasi podcast terbaik dan bekerja untuk Android, iPhone, dan web. Daftar untuk menyinkronkan langganan di seluruh perangkat.