Precision Medicine Gives Cancer Patients New Hope In 2017

Susan Galer

When it comes to something as deeply personal and emotionally powerful as a cancer diagnosis, few people are satisfied with a one-size-fits-all treatment plan. Welcome to the next phase of precision medicine. Fueled by decreasing costs in genomic sequencing and the explosion of accessible, understandable Big Data, precision medicine promises millions of patients ever-more individualized, highly targeted treatment and prevention.

To find out what we can expect this year and beyond, I spoke with Dr. Clifford Hudis, CEO of the American Society of Clinical Oncology (ASCO). He predicted major changes in precision medicine over the next five to ten years, as routine tumor testing identifies genomic patterns for targeting expands and drug matching to genomic alterations accelerates.

He didn’t mince words about the challenges, however:

“Leukemia, some sarcomas, kidney cancer, and a small subset of lung cancers are now identifiable as distinct molecularly with different treatments that have better outcomes. That’s the revolution we’re living through. As the result of this matching, we’re going to understand where precision medicine is paying off and where it’s not. At the same time, one of the big challenges we face is as we develop better treatments, we have to make sure they’re accessible. There’s a mismatch between the excitement precision medicine brings and expense of the drugs that are involved in precision medicine.”

Hudis is co-leading an upcoming openSAP Thought Leadership MOOC entitled The Future of Genomics and Precision Medicine. Ambitiously designed as a precision medicine overview for healthcare providers and policy administrators as well as patients and their loved ones, the course offers the opportunity to exchange questions and ideas with experts and peers in an open online forum. The two-week curriculum explains how precision medicine has already changed cancer care, its importance to the multi-disciplinary cancer care team model and balancing the quality and value of care, and looks at emerging therapeutic options on the horizon.

Precision medicine redefines cancer and treatment

According to co-instructor Kevin Fitzpatrick, CEO of CancerLinQ, an ASCO subsidiary, precision medicine reflects a fundamental shift in the definition of cancer. More than 76 oncology care centers have joined CancerLinQ to date, comprising a care network of approximately 1,800 oncology professionals and over 1.7 million individual patients. Fitzpatrick explained:

“Cancer is no longer a disease defined by the organ system affected, but rather a collection of many hundreds of rare diseases that have their molecular drivers based upon specific mutations. Using precision medicine, we can target therapy to the specific molecular disorder that is driving the cancer episode. Matching the therapy to those alterations has led to some remarkably improved outcomes.”

Cloud-based technology platforms powering advanced analytics are increasingly important to oncologists, giving them the ability to make actionable unprecedented amounts of data, including digital imaging, advanced molecular diagnoses and electronic medical records. This is where an in-memory platform provides a unique advantage to CancerLinQ. Fitzpatrick continued:

“Those in-memory capabilities allow technicians to quickly match the unique manifestation of the disease in an individual patient against a database of similar patients,” said Fitzpatrick. “They can gain new insights around how their colleagues have addressed a clinical issue, and what the outcomes from those interventions might be. We see this as democratizing access to the latest oncology information in a way that’s never been done before.”

For more insight on how technology is revolutionizing medicine, see Precision Medicine: More Than A Buzzword.

Image: Shutterstock

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IoT Can Keep You Healthy — Even When You Sleep [VIDEO]

Christine Donato

Today the Internet of Things is revamping technology. IoT image from American Geniuses.jpg

Smart devices speak to each other and work together to provide the end user with a better product experience.

Coinciding with this change in technology is a change in people. We’ve transitioned from a world of people who love processed foods and french fries to people who eat kale chips and Greek yogurt…and actually like it.

People are taking ownership of their well-being, and preventative care is at the forefront of focus for both physicians and patients. Fitness trackers alert wearers of the exact number of calories burned from walking a certain number of steps. Mobile apps calculate our perfect nutritional balance. And even while we sleep, people are realizing that it’s important to monitor vitals.

According to research conducted at Harvard University, proper sleep patterns bolster healthy side effects such as improved immune function, a faster metabolism, preserved memory, and reduced stress and depression.

Conversely, the Harvard study determined that lack of sleep can negatively affect judgement, mood, and the ability retain information, as well as increase the risk of obesity, diabetes, cardiovascular disease, and even premature death.

Through the Internet of Things, researchers can now explore sleep patterns without the usual sleep labs and movement-restricting electrode wires. And with connected devices, individuals can now easily monitor and positively influence their own health.

EarlySense, a startup credited with the creation of continuous patient monitoring solutions focused on early detection of patient deterioration, mid-sleep falls, and pressure ulcers, began with a mission to prevent premature and preventable deaths.

Without constant monitoring, patients with unexpected clinical deterioration may be accidentally neglected, and their conditions can easily escalate into emergency situations.

Motivated by many instances of patients who died from preventable post-elective surgery complications, EarlySense founders created a product that constantly monitors patients when hospital nurses can’t, alerting the main nurse station when a patient leaves his or her bed and could potentially fall, or when a patient’s vital signs drop or rise unexpectedly.

Now EarlySense technology has expanded outside of the hospital realm. The EarlySense wellness sensor, a device connected via the Internet of Things, mobile solutions, and supported by SAP HANA Cloud Platform, monitors all vital signs while a person sleeps. The device is completely wireless and lies subtly underneath one’s mattress. The sensor collects all mechanical vibrations that the patient’s body emits while sleeping, continuously monitoring heart and respiratory rates.

Watch this short video to learn more about how the EarlySense wellness sensor works:

The result is faster diagnoses with better treatments and outcomes. Sleep issues can be identified and addressed; individuals can use the data collected to make adjustments in diet or exercise habits; and those on heavy pain medications can monitor the way their bodies react to the medication. In addition, physicians can use the data collected from the sensor to identify patient health problems before they escalate into an emergency situation.

Connected care is opening the door for a new way to practice health. Through connected care apps that link people with their doctors, fitness trackers that measure daily activity, and sensors like the EarlySense wellness sensor, today’s technology enables people and physicians to work together to prevent sickness and accidents before they occur. Technology is forever changing the way we live, and in turn we are living longer, healthier lives.

To learn how SAP HANA Cloud Platform can affect your business, visit It&Me.

For more stories, join me on Twitter.

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About Christine Donato

Christine Donato is a Senior Integrated Marketing Specialist at SAP. She is an accomplished project manager and leader of multiple marketing and sales enablement campaigns and events, that supported a multi million euro business.

Zhena’s Gypsy Tea Brews Sustainable Growth On Cloud ERP

David Trites

Recently I had the pleasure of hosting a podcast with Paula Muesse, COO and CFO of Zhena’s Gypsy Tea, a small, organic, fair-trade tea company based in California, and Ursula Ringham from SAP. We talked about some of the business challenges Zhena’s faces and how the company’s ERP solution helped spur growth and digital transformation.

Small but complex business

~ERP helped Zhena’s sustain growthZhena’s has grown from one person (Zhena Muzyka) selling hand-packed tea from a cart, into a thriving small business that puts quality, sustainability, and fair trade first. And although the company is small its business is complex.

For starters, tea isn’t grown in the United States, so Zhena’s has to maintain and import inventory from multiple warehouses around the world. Some of their tea blends have up to 14 ingredients, and each one has a different lead time. That makes demand-planning difficult. In addition, the FDA and US Customs require designated ingredients be traced and treated a certain way to comply with regulations.

Being organic and fair trade also makes things more complicated. Zhena’s has to pass an annual organic compliance audit for all products and processing facilities. And all products need to be traceable back to the farms where the tea was grown and picked to ensure the workers (mostly women) are paid fair wages.

Sustainable growth

Prior to implementing its new ERP system, Zhena’s was using a mix of tools like QuickBooks, Excel, and paper to manage the business. But to sustain growth and ensure future success, the company had to make some changes. Zhena’s needed an integrated software solution that could handle all facets of the business. It needed a tool that could help with cost control and profitability analysis and facilitate complex reporting and regulatory requirements.

The SAP Business ByDesign solution was the perfect choice. The cloud-based ERP solution reduced both business and IT costs, simplified processes from demand planning to accounting, and enabled mobile access and real-time reporting.

Check out the podcast to hear more about how Zhena’s successfully transformed its business by moving to SAP Business ByDesign.

 This article originally appeared on SAP Business Trends.

Building a successful company is hard work. SAP’s affordable solutions for small and midsize companies are designed to make it easier. Simple to install and use, SAP SME Solutions help you automate and integrate your business processes to give real-time, actionable insights. So you can make decisions on the spot. Find out how Run Simple can work for you. Visit sap.com/sme.

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About David Trites

David Trites is a Director of SAP Global Marketing. He is responsible for producing interesting and compelling customer stories that will humanize the SAP brand, support sales and marketing teams across SAP, and increase the awareness of SAP in key markets.

Human Skills for the Digital Future

Dan Wellers and Kai Goerlich

Technology Evolves.
So Must We.


Technology replacing human effort is as old as the first stone axe, and so is the disruption it creates.
Thanks to deep learning and other advances in AI, machine learning is catching up to the human mind faster than expected.
How do we maintain our value in a world in which AI can perform many high-value tasks?


Uniquely Human Abilities

AI is excellent at automating routine knowledge work and generating new insights from existing data — but humans know what they don’t know.

We’re driven to explore, try new and risky things, and make a difference.
 
 
 
We deduce the existence of information we don’t yet know about.
 
 
 
We imagine radical new business models, products, and opportunities.
 
 
 
We have creativity, imagination, humor, ethics, persistence, and critical thinking.


There’s Nothing Soft About “Soft Skills”

To stay ahead of AI in an increasingly automated world, we need to start cultivating our most human abilities on a societal level. There’s nothing soft about these skills, and we can’t afford to leave them to chance.

We must revamp how and what we teach to nurture the critical skills of passion, curiosity, imagination, creativity, critical thinking, and persistence. In the era of AI, no one will be able to thrive without these abilities, and most people will need help acquiring and improving them.

Anything artificial intelligence does has to fit into a human-centered value system that takes our unique abilities into account. While we help AI get more powerful, we need to get better at being human.


Download the executive brief Human Skills for the Digital Future.


Read the full article The Human Factor in an AI Future.


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About Dan Wellers

Dan Wellers is founder and leader of Digital Futures at SAP, a strategic insights and thought leadership discipline that explores how digital technologies drive exponential change in business and society.

Kai Goerlich

About Kai Goerlich

Kai Goerlich is the Chief Futurist at SAP Innovation Center network His specialties include Competitive Intelligence, Market Intelligence, Corporate Foresight, Trends, Futuring and ideation.

Share your thoughts with Kai on Twitter @KaiGoe.heif Futu

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The Human Factor In An AI Future

Dan Wellers and Kai Goerlich

As artificial intelligence becomes more sophisticated and its ability to perform human tasks accelerates exponentially, we’re finally seeing some attempts to wrestle with what that means, not just for business, but for humanity as a whole.

From the first stone ax to the printing press to the latest ERP solution, technology that reduces or even eliminates physical and mental effort is as old as the human race itself. However, that doesn’t make each step forward any less uncomfortable for the people whose work is directly affected – and the rise of AI is qualitatively different from past developments.

Until now, we developed technology to handle specific routine tasks. A human needed to break down complex processes into their component tasks, determine how to automate each of those tasks, and finally create and refine the automation process. AI is different. Because AI can evaluate, select, act, and learn from its actions, it can be independent and self-sustaining.

Some people, like investor/inventor Elon Musk and Alibaba founder and chairman Jack Ma, are focusing intently on how AI will impact the labor market. It’s going to do far more than eliminate repetitive manual jobs like warehouse picking. Any job that involves routine problem-solving within existing structures, processes, and knowledge is ripe for handing over to a machine. Indeed, jobs like customer service, travel planning, medical diagnostics, stock trading, real estate, and even clothing design are already increasingly automated.

As for more complex problem-solving, we used to think it would take computers decades or even centuries to catch up to the nimble human mind, but we underestimated the exponential explosion of deep learning. IBM’s Watson trounced past Jeopardy champions in 2011 – and just last year, Google’s DeepMind AI beat the reigning European champion at Go, a game once thought too complex for even the most sophisticated computer.

Where does AI leave human?

This raises an urgent question for the future: How do human beings maintain our economic value in a world in which AI will keep getting better than us at more and more things?

The concept of the technological singularity – the point at which machines attain superhuman intelligence and permanently outpace the human mind – is based on the idea that human thinking can’t evolve fast enough to keep up with technology. However, the limits of human performance have yet to be found. It’s possible that people are only at risk of lagging behind machines because nothing has forced us to test ourselves at scale.

Other than a handful of notable individual thinkers, scientists, and artists, most of humanity has met survival-level needs through mostly repetitive tasks. Most people don’t have the time or energy for higher-level activities. But as the human race faces the unique challenge of imminent obsolescence, we need to think of those activities not as luxuries, but as necessities. As technology replaces our traditional economic value, the economic system may stop attaching value to us entirely unless we determine the unique value humanity offers – and what we can and must do to cultivate the uniquely human skills that deliver that value.

Honing the human advantage

As a species, humans are driven to push past boundaries, to try new things, to build something worthwhile, and to make a difference. We have strong instincts to explore and enjoy novelty and risk – but according to psychologist Mihaly Csikszentmihalyi, these instincts crumble if we don’t cultivate them.

AI is brilliant at automating routine knowledge work and generating new insights from existing data. What it can’t do is deduce the existence, or even the possibility, of information it isn’t already aware of. It can’t imagine radical new products and business models. Or ask previously unconceptualized questions. Or envision unimagined opportunities and achievements. AI doesn’t even have common sense! As theoretical physicist Michio Kaku says, a robot doesn’t know that water is wet or that strings can pull but not push. Nor can robots engage in what Kaku calls “intellectual capitalism” – activities that involve creativity, imagination, leadership, analysis, humor, and original thought.

At the moment, though, we don’t generally value these so-called “soft skills” enough to prioritize them. We expect people to develop their competency in emotional intelligence, cross-cultural awareness, curiosity, critical thinking, and persistence organically, as if these skills simply emerge on their own given enough time. But there’s nothing soft about these skills, and we can’t afford to leave them to chance.

Lessons in being human

To stay ahead of AI in an increasingly automated world, we need to start cultivating our most human abilities on a societal level – and to do so not just as soon as possible, but as early as possible.

Singularity University chairman Peter Diamandis, for example, advocates revamping the elementary school curriculum to nurture the critical skills of passion, curiosity, imagination, critical thinking, and persistence. He envisions a curriculum that, among other things, teaches kids to communicate, ask questions, solve problems with creativity, empathy, and ethics, and accept failure as an opportunity to try again. These concepts aren’t necessarily new – Waldorf and Montessori schools have been encouraging similar approaches for decades – but increasing automation and digitization make them newly relevant and urgent.

The Mastery Transcript Consortium is approaching the same problem from the opposite side, by starting with outcomes. This organization is pushing to redesign the secondary school transcript to better reflect whether and how high school students are acquiring the necessary combination of creative, critical, and analytical abilities. By measuring student achievement in a more nuanced way than through letter grades and test scores, the consortium’s approach would inherently require schools to reverse-engineer their curricula to emphasize those abilities.

Most critically, this isn’t simply a concern of high-tuition private schools and “good school districts” intended to create tomorrow’s executives and high-level knowledge workers. One critical aspect of the challenge we face is the assumption that the vast majority of people are inevitably destined for lives that don’t require creativity or critical thinking – that either they will somehow be able to thrive anyway or their inability to thrive isn’t a cause for concern. In the era of AI, no one will be able to thrive without these abilities, which means that everyone will need help acquiring them. For humanitarian, political, and economic reasons, we cannot just write off a large percentage of the population as disposable.

In the end, anything an AI does has to fit into a human-centered value system that takes our unique human abilities into account. Why would we want to give up our humanity in favor of letting machines determine whether or not an action or idea is valuable? Instead, while we let artificial intelligence get better at being what it is, we need to get better at being human. That’s how we’ll keep coming up with groundbreaking new ideas like jazz music, graphic novels, self-driving cars, blockchain, machine learning – and AI itself.

Read the executive brief Human Skills for the Digital Future.

Build an intelligent enterprise with AI and machine learning to unite human expertise and computer insights. Run live with SAP Leonardo.


Comments

About Dan Wellers

Dan Wellers is founder and leader of Digital Futures at SAP, a strategic insights and thought leadership discipline that explores how digital technologies drive exponential change in business and society.

Kai Goerlich

About Kai Goerlich

Kai Goerlich is the Chief Futurist at SAP Innovation Center network His specialties include Competitive Intelligence, Market Intelligence, Corporate Foresight, Trends, Futuring and ideation.

Share your thoughts with Kai on Twitter @KaiGoe.heif Futu