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Dec 12, 2023
12/23
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vickers, president and ceo of memorial sloan kettering.oment. i want to talk to these two right now. don't we both, lara. >> yes, we do. >> joshua, joshua. we saw you as a 3-year-old as a patient at msk. now you're there, greeting patients with a big smile. why did you think this was the right role for you? >> it felt like the perfect full circle moment. being on both sides of the ball, patient and employee now. it's cool to give care now and receive care when i was a child. the same care they gave me when my parents walked through the door and the warm welcomes and everything is the same thing i give back and can ease people's minds. >> like you said, full circle. >> full circle. and jillian, one of the nurses that treated you when you were going through your own fight, like the warrior that you are, is with us today. >> yes. >> tell us a little about how she inspired you to go full circle and do that same work that they all did with you on your journey. >> after my diagnosis, it was always my dream career to work at memorial sloan ketter
vickers, president and ceo of memorial sloan kettering.oment. i want to talk to these two right now. don't we both, lara. >> yes, we do. >> joshua, joshua. we saw you as a 3-year-old as a patient at msk. now you're there, greeting patients with a big smile. why did you think this was the right role for you? >> it felt like the perfect full circle moment. being on both sides of the ball, patient and employee now. it's cool to give care now and receive care when i was a child....
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Dec 4, 2023
12/23
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. >> the 400 pound development of kettering general hospital is the number one investment priority for local residents. the first part of this is a 50 million pound new energy plant to power the expanded and improved hospital. will my friend the prime minister please do all he can to ensure the department of health gets spades in the ground on time next spring so that we can get the construction of our redeveloped, much loved local hospital fully underway? >> hear, hear. >> can i thank you for championing the hospital in kettering and we're committed to delivering to the hospital and my friend will be aware the new energy center is vital to the new delivery of the hospital and we expect that work to begin in the first quarter of next year, the new hospital program is working closely with the trust to ensure the plans are deliverable. >> mr. speaker, three years ago the government made a commitment to 40 new hospitals and significant upgrades to hospitals in most need. but today many schemes are badly delayed. the royal bark hire -- bark about shire without a single pound for constructi
. >> the 400 pound development of kettering general hospital is the number one investment priority for local residents. the first part of this is a 50 million pound new energy plant to power the expanded and improved hospital. will my friend the prime minister please do all he can to ensure the department of health gets spades in the ground on time next spring so that we can get the construction of our redeveloped, much loved local hospital fully underway? >> hear, hear. >>...
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Dec 20, 2023
12/23
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the incredible superhero staff at sloan-kettering. but the cadence disturbed rest.egiver but also create a frequency of rest in the room so i started to compose these lullabies i would leave them on loop. she would paint. she would paint from her hospital bed in these lullabies would fill the air and this theme from one of those lullabies that i composed in the room turned into "butterfly," the song i'm going to play today. it ecame a song that was about her but also something that he can be a friend to many. >> stephen: jon, so glad you're here. so great to see. we tried to do this four times for people out there don't know. you were supposed to come last spring and the strike happened. you are supposed to come early in the fall and i got covid pretty were supposed to come a couple days before thanksgiving and my appendix burst. four times a charm. so glad you're here. we'll be right back with a performance by jon batiste, everybody. >> stephen: his album "world music radio" is nominated for album of the year at the 2024 grammy awards. performing "butterfly", our f
the incredible superhero staff at sloan-kettering. but the cadence disturbed rest.egiver but also create a frequency of rest in the room so i started to compose these lullabies i would leave them on loop. she would paint. she would paint from her hospital bed in these lullabies would fill the air and this theme from one of those lullabies that i composed in the room turned into "butterfly," the song i'm going to play today. it ecame a song that was about her but also something that he...
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page was developed with microsoft trained on 1 billion imaimages from memorial sloan kettering. >> weicious of cancer. >> this area and the image has a particular cell morphology. >> is it the purple dots or pattern? >> it's the pattern that the pathologist reads to discern cancer, that's exactly right. >> how accurate is this tool? >> there was a validation study that showed what was the diagnosis via the a.i. and what was the diagnosis via pathologists and they had 100% concordance in the validation you study. >> if it's so good, why isn't more hospitals and doctors picking it up? and the answer is you need insurance to pick be it up to get more adoption in the medical industry but it's very promising. when you think about the fact that we literally have a severe shortage of pathologists who can help detect and diagnose all of these scans that will let you know not only if you have cancer but what stage you're at so interesting. so many important points. lauren, thank you. great reporting. we've been studying a.i. on this program for several years and back in 2019 i spoke with ibm's
page was developed with microsoft trained on 1 billion imaimages from memorial sloan kettering. >> weicious of cancer. >> this area and the image has a particular cell morphology. >> is it the purple dots or pattern? >> it's the pattern that the pathologist reads to discern cancer, that's exactly right. >> how accurate is this tool? >> there was a validation study that showed what was the diagnosis via the a.i. and what was the diagnosis via pathologists and...
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Dec 4, 2023
12/23
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at memorial sloan kettering cancer center, young patients have access to specific support groups, mentalssionals, and fertility clinics. mcduffie is now a patient of dr. shari goldfarb, who co-directs the young women with breast cancer program. dr. goldfarb: too often people are not taken seriously when they're young or doctors who don't see breast cancer in young women don't think it's breast cancer. it doesn't come to their mind. so people are given antibiotics and told to go home. ali: dr. goldfarb says this attitude often means that, by the time her young patients begin treatment, their cancer is more advanced and less survivable. dr. goldfarb: what we see in these women is that they're often diagnosed later with more biologically aggressive tumors. ali: a 2021 study found that women over 40 with breast cancer saw a decrease in their mortality rates. but mortality rates in young women remained stagnant. to dr. goldfarb, this demonstrates a major blind spot in the development of cancer drugs -- younger women are often left out of the clinical trials that could save them. dr. goldfarb:
at memorial sloan kettering cancer center, young patients have access to specific support groups, mentalssionals, and fertility clinics. mcduffie is now a patient of dr. shari goldfarb, who co-directs the young women with breast cancer program. dr. goldfarb: too often people are not taken seriously when they're young or doctors who don't see breast cancer in young women don't think it's breast cancer. it doesn't come to their mind. so people are given antibiotics and told to go home. ali: dr....
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Dec 8, 2023
12/23
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cancer diagnosis page was developed with microsoft trained on 1 billion images from memorial sloan ketteringhave products for prostate breast cancer, breast cancer, lymph node and also for colon cancer. it is the only product fda approved to detect prostate cancer. >> what makes this image suspicious of cancer? >> this area in the image has a particular cell morphology. the size and the shapes of the cells relative to the others. is that the purple dots or the pattern of them? >> it's the it's the pattern that the pathologist reads to discern cancer. >> exactly right. >> how accurate is this tool? >> there was a validation study that showed what was the diagnose basis via the ai and what was the diagnosis via pathologist and they had 100% concordance in the validation study. wow. >> while impressive adoption will take both time and pick up from insurance companies as they'll need to see that ai boosts productivity, reduces error, and saves them money. in new york. lauren simonetti, fox business. >> this is ktvu fox two news at six. >> thanks for joining us this thursday. i'm cristina rendon.
cancer diagnosis page was developed with microsoft trained on 1 billion images from memorial sloan ketteringhave products for prostate breast cancer, breast cancer, lymph node and also for colon cancer. it is the only product fda approved to detect prostate cancer. >> what makes this image suspicious of cancer? >> this area in the image has a particular cell morphology. the size and the shapes of the cells relative to the others. is that the purple dots or the pattern of them?...
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Dec 20, 2023
12/23
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watson was the computer, super computer strategy that i think that sloan kettering created with ibm to create a strategy to predict and treat cancer and didn't work and it crashed and burned. the reason it crashed and burned was there were gaps in the genomic data in gaps in the clinical data, and how you would approach patients with cancer, and approach with late cancer, but lack of uniformity, but how to approach patients with early cancer and the decision making and engagement of the clinician and the patient is important. i take your point. i think there's a lot of ground to cover. i'm not going to break your question into all the five parts that you had, but i'll say that there's lots of ground to cover in terms of equity, in terms of getting the right data sets, in terms of making the data sets generalizable without bias because i think it's so important that if you're using an algorithm off a particular data set for a particular patient, if that patient was not represented in the data sets that was creating that algorithm, you know, it's not going to work. and there are so many
watson was the computer, super computer strategy that i think that sloan kettering created with ibm to create a strategy to predict and treat cancer and didn't work and it crashed and burned. the reason it crashed and burned was there were gaps in the genomic data in gaps in the clinical data, and how you would approach patients with cancer, and approach with late cancer, but lack of uniformity, but how to approach patients with early cancer and the decision making and engagement of the...
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Dec 20, 2023
12/23
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that you know for example watson watson was the was computer supercomputer strategy that i think sloan-kettering worked with ibm to kind of create a strategy to predict and then treat cancer. it didn't work right. it kind of crashed and burned. and the reason crashed and burned was there were gaps in the genomic. there were gaps in the clinical data, there were gaps in the understanding of how you would approach a patient with early versus late cancer. there was there was uniformity in you approach patients with late cancer but. there was absolutely lack of uniformity in how you approach a patient with early cancer because that's where the whole shared decision making and the engagement of the clinician and, the patient was also important. so i take your point. i think there there's a lot of ground to cover. i'm not going to break your question. all the five parts that you had. but i will say this, that there is a lot of ground to cover in of equity in of getting the right data sets in terms of making the datasets without bias. because i think it's so important that if you're using an algorithm
that you know for example watson watson was the was computer supercomputer strategy that i think sloan-kettering worked with ibm to kind of create a strategy to predict and then treat cancer. it didn't work right. it kind of crashed and burned. and the reason crashed and burned was there were gaps in the genomic. there were gaps in the clinical data, there were gaps in the understanding of how you would approach a patient with early versus late cancer. there was there was uniformity in you...