Post by account_disabled on Mar 9, 2024 4:38:16 GMT
During Pink October, IBM aims to engage as many people as possible to raise awareness through various initiatives among its internal and external community, with the aim of promoting life-saving research as well as support to improve its quality and that is available for women and men all over the world.
The search for more effective drugs against cancer is an ongoing global effort, involving both academia and industry. A couple of weeks ago, IBM scientists announced three new public, open source AI tools aimed at accelerating and guiding cancer research. From detecting differences in tumor composition that occur in various types of cancer, to predicting and explaining drug efficacy, these tools have the potential to look into the dark corners of cancer and equip industry and academia. with the knowledge necessary to develop new treatments and therapies.
PaccMann calls ; INTERACT ; and PIMKL , these Chile Mobile Number List three AI tools are open source and available on the IBM Cloud for researchers and industry professionals to conduct experiments.
In the industry today, IBM Watson Health's oncology and genomics offerings are used by hundreds of hospitals and healthcare organizations around the world. Even in Latin America, several companies rely on IBM artificial intelligence to support clinical decision making.
How are hospitals and healthcare organizations in Latin America using cutting-edge technologies to support physicians in clinical decision making?
Cancer is a major health problem in Latin America. According to the International Agency for Research on Cancer (IARC), linked to the World Health Organization (WHO), every two minutes, five people are diagnosed with cancer in Latin America. The region has 1.4 million new cases per year and the disease continues to increase. In Mexico, breast cancer is the most common cancer, excluding non-melanoma skin cancer for both sexes and the first in the new classification of cases, according to the Global Cancer Observatory.
Argentina, for example, has an incidence rate of 217 cases per 100,000 inhabitants, with breast cancer being the largest in terms of occurrence: more than 19,000 cases per year, representing 17% of all malignant tumors and almost a third of female cancers, according to the National Cancer Institute (INC).
These are some of the several institutions in Latin America that are using IBM technology to support clinical decision making:
Cienciamed (Mexico) – Cienciamed is a startup that explores artificial intelligence as a more effective method to help patients with mental illnesses. The startup programmed Watson so that medical information can be used more quickly in medical processes. A group of researchers works on reading, classifying and storing information from different scientific articles related to mental illnesses, with the aim of deciding in a matter of minutes whether or not a patient suffers from disorders such as depression, anxiety or Alzheimer's.
Watson does not perform medical diagnosis, the task of this system is to analyze hundreds of medical papers and articles per week, decide whether they are useful or not and classify them within 'decision trees'. The work that a group of six researchers could do in a year and that would involve reading and classifying 13,000 scientific articles, Watson can do in a matter of days.
Watson is able to identify what is important in a text, extract it and understand its meaning. The purpose of Cienciamed is not only to capture the information, but to use it almost immediately in the rapid and personalized diagnosis of 40 different diseases. To do this, the startup also uses genetics.
The process is like this: after requesting the service, a patient receives a box with a questionnaire to answer (with questions such as gender, age and symptoms) and a container in which they must deposit 1 milliliter of saliva, which contains all the DNA required to identify the predisposition - through markers - to any of the diseases. When the Cienciamed team receives the package, they analyze the questionnaire, determine the patient's health and upload the information to their platform.
These data are crossed with the scientific information that Watson has previously helped them collect and in two minutes the platform returns the diagnosis, the recommended treatment and which medications, based on genetics, are indicated for the patient.
KAENZ (Chile) – Thinking about cancer patients who are treated with chemotherapy, also pregnant women, people with obesity, reduced mobility and neurological problems, three kinesiologists from Chile have created a low-impact aquatic exercise therapy that involves name KAENZ.
It is a kit made up of a float that fits around the waist and allows the person to remain vertical in the pool, a pair of dumbbells, waterproof headphones and virtual reality glasses that can also be submerged. and a lining that also allows you to put the smartphone in water. With these mixed reality glasses, which is a mixture of augmented and virtual, you access a virtual therapist who tells you what exercises should be done, depending on your condition.
Thanks to IBM's Watson technology, the application that transmits the induction of the exercises takes the patient's medical record, identifies the disease or their physical condition, and prepares the specific work and its intensity. Knows when to increase workload, decrease it or simply stop.
DOers (Argentina): DOers created the cognitive virtual assistant Diana, which works as a health coach for patients with diabetes and supports doctors in the monitoring and personalized care of their patients. The mobile application is hosted in the IBM cloud, and uses the artificial intelligence capabilities of IBM Watson to interact using natural language and help people with diabetes in their treatment.
The search for more effective drugs against cancer is an ongoing global effort, involving both academia and industry. A couple of weeks ago, IBM scientists announced three new public, open source AI tools aimed at accelerating and guiding cancer research. From detecting differences in tumor composition that occur in various types of cancer, to predicting and explaining drug efficacy, these tools have the potential to look into the dark corners of cancer and equip industry and academia. with the knowledge necessary to develop new treatments and therapies.
PaccMann calls ; INTERACT ; and PIMKL , these Chile Mobile Number List three AI tools are open source and available on the IBM Cloud for researchers and industry professionals to conduct experiments.
In the industry today, IBM Watson Health's oncology and genomics offerings are used by hundreds of hospitals and healthcare organizations around the world. Even in Latin America, several companies rely on IBM artificial intelligence to support clinical decision making.
How are hospitals and healthcare organizations in Latin America using cutting-edge technologies to support physicians in clinical decision making?
Cancer is a major health problem in Latin America. According to the International Agency for Research on Cancer (IARC), linked to the World Health Organization (WHO), every two minutes, five people are diagnosed with cancer in Latin America. The region has 1.4 million new cases per year and the disease continues to increase. In Mexico, breast cancer is the most common cancer, excluding non-melanoma skin cancer for both sexes and the first in the new classification of cases, according to the Global Cancer Observatory.
Argentina, for example, has an incidence rate of 217 cases per 100,000 inhabitants, with breast cancer being the largest in terms of occurrence: more than 19,000 cases per year, representing 17% of all malignant tumors and almost a third of female cancers, according to the National Cancer Institute (INC).
These are some of the several institutions in Latin America that are using IBM technology to support clinical decision making:
Cienciamed (Mexico) – Cienciamed is a startup that explores artificial intelligence as a more effective method to help patients with mental illnesses. The startup programmed Watson so that medical information can be used more quickly in medical processes. A group of researchers works on reading, classifying and storing information from different scientific articles related to mental illnesses, with the aim of deciding in a matter of minutes whether or not a patient suffers from disorders such as depression, anxiety or Alzheimer's.
Watson does not perform medical diagnosis, the task of this system is to analyze hundreds of medical papers and articles per week, decide whether they are useful or not and classify them within 'decision trees'. The work that a group of six researchers could do in a year and that would involve reading and classifying 13,000 scientific articles, Watson can do in a matter of days.
Watson is able to identify what is important in a text, extract it and understand its meaning. The purpose of Cienciamed is not only to capture the information, but to use it almost immediately in the rapid and personalized diagnosis of 40 different diseases. To do this, the startup also uses genetics.
The process is like this: after requesting the service, a patient receives a box with a questionnaire to answer (with questions such as gender, age and symptoms) and a container in which they must deposit 1 milliliter of saliva, which contains all the DNA required to identify the predisposition - through markers - to any of the diseases. When the Cienciamed team receives the package, they analyze the questionnaire, determine the patient's health and upload the information to their platform.
These data are crossed with the scientific information that Watson has previously helped them collect and in two minutes the platform returns the diagnosis, the recommended treatment and which medications, based on genetics, are indicated for the patient.
KAENZ (Chile) – Thinking about cancer patients who are treated with chemotherapy, also pregnant women, people with obesity, reduced mobility and neurological problems, three kinesiologists from Chile have created a low-impact aquatic exercise therapy that involves name KAENZ.
It is a kit made up of a float that fits around the waist and allows the person to remain vertical in the pool, a pair of dumbbells, waterproof headphones and virtual reality glasses that can also be submerged. and a lining that also allows you to put the smartphone in water. With these mixed reality glasses, which is a mixture of augmented and virtual, you access a virtual therapist who tells you what exercises should be done, depending on your condition.
Thanks to IBM's Watson technology, the application that transmits the induction of the exercises takes the patient's medical record, identifies the disease or their physical condition, and prepares the specific work and its intensity. Knows when to increase workload, decrease it or simply stop.
DOers (Argentina): DOers created the cognitive virtual assistant Diana, which works as a health coach for patients with diabetes and supports doctors in the monitoring and personalized care of their patients. The mobile application is hosted in the IBM cloud, and uses the artificial intelligence capabilities of IBM Watson to interact using natural language and help people with diabetes in their treatment.