I am sharing here a summary from a builtin story by Sam Daley that knits 40 stories from the Medicine and Healthcare institutions and organizations around the world, and other stories from elsewhere that point to transformation of the future of Medicine, using Data Science, Analytics and Artificial Intelligence.

From faster diagnosis to robot-assisted surgeries, the adoption of AI in healthcare is advancing medical treatment and patient experiences, at a lightening pace!

Artificial intelligence is simplifying and ameliorating the lives of

• Patients, and their families
• Doctors, and
• Hospital administrators

by performing tasks that are typically done by humans, but in less time and at a fraction of the cost.

AI in healthcare shows up in a number of ways, such as finding new links between genetic codes, powering surgery-assisting robots, automating administrative tasks, personalizing treatment options and much more.

Data Science / Analytics / AI in Healthcare Applications

We will dwell into the following five dimensions to provide wholistic view of transformational initiatives that are shaping the healthcare sector –

• Improving medical diagnosis
• Speeding up drug discovery
• Transforming patient experience
• Managing healthcare data
• Performing robotic surgery

Summary of each of the dimensions, that figures 40+ organizations and their Data Science break throughs in healthcare –

Improving Medical Diagnosis using Data Science:

There are 13 examples, showing AI’s ability to reduce errors and save lives.

• Linus Health – Platform for cognitive assessments: Recent advances in neuroscience and AI to analyze over 50 metrics that reflect the patient’s cognitive function.
  • Viz.ai – AI products detect issues and notify care teams quickly, to discuss options, provide faster treatment decisions, thus saving lives.
  • PathAI – Machine learning technology to assist pathologists in making more accurate diagnoses, especially in cancer diagnosis.
  • Regard – AI “Clinical co-pilot” synthesizing data from Electronic Medical Records to give specific recommendations about patient care.
  • Buoy Health – AI bases symptom and cure checker that uses algorithms to diagnose and treat illness.
  • Enlitic – develops deep learning medical tools to streamline radiology diagnoses.
  • Freenome – Deploys AI to detect cancer in its earliest stages, develops new treatments.
  • Beth Israel Deaconess – AI-enhanced microscopes to scan for harmful bacterias like E.Coli and staphylococcus in blood samples at faster rate
  • Iterative Health – AI in diagnosis in gastroenterology – inflammatory bowel disease clinical trials
  • Virtusense – AI sensors to track a patient’s movements so that caregivers can be notified of potential falls.
  • Caption Health – Ultrasound technology integrated with AI forewarns about diseases.
  • Arterys – Products for precision medicine – detecting breast cancer, cardiac MRI detecting strokes, lung nodules, brain tumors etc.
  • Cleerly Inc. – AI for cardiovascular care, predicts risk of having a heart attack and recommends a personalized treatment plan.

Speeding up drug discovery using AI

The drug development industry is bogged down by skyrocketing development costs and research that takes thousands of human hours. Putting each drug through clinical trials costs an estimated average of $1.3 billion, and only 10 percent of those drugs are successfully brought to market.

Due to breakthroughs in technology, biopharmaceutical companies are quickly taking notice of the efficiency, accuracy and knowledge AI can provide.

Here are some companies that rely on AI to develop the next wave of medicines.

• Novo Nordisk – A pharma company specializing in AI Technology to develop new treatments for cardiometabolic diseases.
• BioXcel Therapeutics – Uses AI to identify and develop new medicines in the fields of immune-oncology and neuroscience.
• Reverie Labs – harnessing computational chemistry and machine learning tools for developing effective cancer treatments.
• Valo Health – Opal computational platform collects and analyzes human centric data to identify common diseases, eliminating the need for animal testing, for molecule design and clinical  development.
• Xtalpi – ID4 platform combines AI, the cloud and quantum physics, to predict the chemical and pharmaceutical properties of small-molecule candidates for drug design and development.
• Atomwise – Uses AI to tackle serious diseases, including Ebola and Multiple Sclerosis
• Deep Genomics – AI platform helps researchers find candidates for developmental drugs related neuromuscular and neurodegenerative disorders.
• BenevolentAI – Goal is to get the right treatment to the right patients at the right time by using AI providing previously undiscovered insights through deep learning.
• Deepcell, Inc – uses AI and microfluidics to develop technology for single cell morphology – cancer research, cell therapy and developmental biology.
• Owkin – AI technology for drug discovery, diagnostics for enhancing cancer treatment.

Transforming patient experience using Data Science

Hospitals whose patients have positive experiences have higher profits. So, providing a seamless patient experience allows hospitals, clinics and physicians to train more patients on a daily basis.

• Iodine Sofware – Creating AI-powered and machine-learning solutions that does resource optimization and increased response rates.
• Kaia Health – operates digital therapeutics platform for chronic pains and diseases
• Spring Health – Mental health benefit solution for employers
• Twin Health – Using IOT, AI, Data Science, Medical Science and Healthcare seeks to reverse chronic conditions like Type 2 Diabetes.
• Olive – AI platform automates repetitive healthcare tasks freeing up admin to work on higher-level ones.
• Qventus Inc – AI platform that solves operational challenges, including emergency rooms and patient safety.

Managing healthcare data using AI

Healthcare is widely considered one of the next big data frontiers to tame. Highly valuable information can sometimes get lost among the forest of trillions of data points. Additionally, the inability to connect important data points slows the development of new drugs, preventative medicine, and proper diagnosis. 

Many in healthcare are turning to AI as a way to stop the data hemorrhaging. The technology breaks down data silos and connects in minutes information that used to take years to process.

Here are eight examples of AI companies helping the healthcare industry stay afloat in an ocean of data.  

• Tempus uses AI to sift through the world’s largest collection of clinical and molecular data to personalize healthcare treatments
• IBM’s Watson now helps healthcare professionals to optimize hospital efficiencies, better engagement with patients and improve treatment.
• CloseLoop.ai is a platform that uses AI to discover at-risk patients and recommend treatment options.
• Beacon Biosignals – Treats neurological and psychiatric diseases through its EEG Analytics platform.
• Proscia – is a digital pathology platform that uses AI to detect patterns in cancer cells.
• H2O.ai – AI platform analyzes data throughout a healthcare system to mine, automate and predict processes, risk of hospital-acquired infections etc.
• iCarbomX – uses AI and big data to look more closely at human life, classify symptoms, develop treatment options and get people healthier.
• Akasa’s AI platform helps healthcare providers streamline workflows by automating admin tasks to allow staff to focus where they are needed.

Performing robotic surgery powered by Data Science and AI

Popularity in robot-assisted surgery is skyrocketing. Hospitals are using robots to help with everything from minimally invasive procedures to open heart surgery. According to the Mayo Clinic, robots help doctors perform complex procedures with a precision, flexibility and control that goes beyond human capabilities.

Surgeons can control a robot’s mechanical arms while seated at a computer console as the robot gives the doctor a three dimensional, magnified view of the surgical site that surgeons could not get from relying on their eyes alone. The surgeon then leads other team members who work closely with the robot through the entire operation.

Robot-assisted surgeries have led to fewer surgery-related complications, less pain and a quicker recovery time. Take a look at five examples of how robots are shaping the future of surgery.

• Vicarious Surgical – Combines virtual reality with AI-enabled robots so surgeons can perform minimally invasive operations.
• Accuracy – Cyberknife system uses AI and robotics to precisely treat cancerous tumors, localized, rather than whole body.
• Intuitive – Da Vinci platform features cameras, robotic arms and surgical tools to aid in minimal invasive procedures. It has assisted over 10 million operations.
• Carnegie Mellon University – HeartLander, a miniature mobile robot designed to facilitate therapy on the heart, by entering the chest through a small incision, navigates to certain locations of the heart by itself and administers therapy.
• Microsure – motion stabilizer system is intended to improve performance and precision during surgical procedures; MUSA surgical robot controlled by joysticks for performing microsurgery.

Here is the link to the article for more details.

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——Data Science A I Retreat 2024 with KAM ——Nairobi Dec 6-7, 2024

“Embrace and ride the DATA SCIENCE / AI technologies, else will be left behind!”

Invitation to the next

DATA SCIENCE AI RETREAT

for C-Suite Executives in

Get super saving offers for Team Leadership participation – 4+1 or 2+1 discounts!

Visit the page of Data Science AI Retreat, KAM Edition for details and to register

Data Scientists of Eminence Facilitating:

We invite you and your leadership team, to join the facilitators of eminence in Data Science, Prof Raghunathan Rengaswamy, Sujit Bhattacharyya and Celina Lee along with teams from IIT Madras, Zindi, CL Educate, for an exclusive 2-day DATA SCIENCE AI Retreat for C-suite executives, that we have scheduled for Dec 6-7, 2024, in Nairobi

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This DS AI Retreat will be a great beginning of the transformational journey you are keen on for your organization.

INVESTMENT:

Since we are looking at a meaningful number but limited, in the learning retreat that can facilitate good engaging interactions, I request you to register at the earliest.

To enable all the significant members of the leadership to attend, engage, learn and bring about the transformation shift in the organization, we are extending to you, the 4 + 1 offer – we offer the 5th seat free, on registration of 4 of your leadership team.

Investment: $1000 per participant. We would like to reward the proactive leaders with a special organizational offers, along with Team registration offer. [Internationally, the faculty facilitate such a program of two-days, that costs upwards of $2500]

SPECIAL EARLY BIRD OFFERS, for registering before Nov 25, 2024

Team offers : Get your COO, CTO, Director Marketing, Head Analytics and critical role holders to make the most of this opportunity.

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For a total of $4000 you get 5 people to attend (20% discount).

For Start ups and smaller organizations:

2 + 1 offer: Pay for 2 get 50% off for the third participant
For a total of $2500 per participant you get 3 people to attend (16.66% discount)

Post Nov 25, the participation fees will be $1000pax

Venues: [TBC]

Nairobi: TradeMark / Tribe / JW Marriott/Radisson Arboretum / ..

For those who register early, we start the pre-session readings and engagements. I would love to have you and your team too to start at the earliest.

HOW TO REGISTER:

Here is the link for all the details of the DS AI Retreat and also the registration, apart from all the details of the program. This also has the videos and testimonials from the last 8 Data Science retreats we have conducted all over the world, including the DSR in Nairobi and Dar Es Salaam in Dec 2023 and March 2024

webpage for details and to register for Data Science AI Retreat at KAM, scheduled in Nairobi, Dec 6-7, 2024