Short Story Contest Winner: "The Gerry Program"
It's an odd sensation knowing you're going to die, but it was a feeling Gerry Ferguson had become relatively acquainted with over the past two years. What most perplexed the terminally ill, he observed, was not the concept of death so much as the continuation of all other life.
Gerry's secret project had been in the works for two years now, ever since they found the growth.
Who will mourn me when I'm gone? What trait or idiosyncrasy will people most recall? Will I still be talked of, 100 years from now?
But Gerry didn't worry about these questions. He was comfortable that his legacy would live on, in one form or another. From his cozy flat in the west end of Glasgow, Gerry had managed to put his affairs in order and still find time for small joys.
Feeding the geese in summer at the park just down from his house, reading classics from the teeming bookcase in the living room, talking with his son Michael on Skype. It was Michael who had first suggested reading some of the new works of non-fiction that now littered the large oak desk in Gerry's study.
He was just finishing 'The Master Algorithm' when his shabby grandfather clock chimed six o'clock. Time to call Michael. Crammed into his tiny study, Gerry pulled his computer's webcam close and waved at Michael's smiling face.
"Hi Dad! How're you today?"
"I'm alright, son. How're things in sunny Australia?"
"Hot as always. How's things in Scotland?"
"I'd 'ave more chance gettin' a tan from this computer screen than I do goin' out there."
Michael chuckled. He's got that hearty Ferguson laugh, Gerry thought.
"How's the project coming along?" Michael asked. "Am I going to see it one of these days?"
"Of course," grinned Gerry, "I designed it for you."
Gerry's secret project had been in the works for two years now, ever since they found the growth. He had decided it was better not to tell Michael. He would only worry.
The two men chatted for hours. They discussed Michael's love life (or lack thereof), memories of days walking in the park, and their shared passion, the unending woes of Rangers Football Club. It wasn't until Michael said his goodbyes that Gerry noticed he'd been sitting in the dark for the best part of three hours, his mesh curtains casting a dim orange glow across the room from the street light outside. Time to get back to work.
*
Every night, Gerry sat at his computer, crawling forums, nourishing his project, feeding his knowledge and debating with other programmers. Even at age 82, Gerry knew more than most about algorithms. Never wanting to feel old, and with all the kids so adept at this digital stuff, Gerry figured he should give the Internet a try too. Besides, it kept his brain active and restored some of the sociability he'd lost in the previous decades as old friends passed away and the physical scope of his world contracted.
This night, like every night, Gerry worked away into the wee hours. His back would ache come morning, but this was the only time he truly felt alive these days. From his snug red brick home in Scotland, Gerry could share thoughts and information with strangers from all over the world. It truly was a miracle of modern science!
*
The next day, Gerry woke to the warm amber sun seeping in between a crack in the curtains. Like every morning, his thoughts took a little time to come into focus. Instinctively his hand went to the other side of the bed. Nobody there. Of course; she was gone. Rita, the sweetest woman he'd ever known. Four years this spring, God rest her soul.
Puttering around the cramped kitchen, Gerry heard a knock at the door. Who could that be? He could see two women standing in the hallway, their bodies contorted in the fisheye glass of the peephole. One looked familiar, but Gerry couldn't be sure. He fiddled with the locks and pulled the door open.
"Hi Gerry. How are you today?"
"Fine, thanks," he muttered, still searching his mind for where he'd seen her face before.
Noting the confusion in his eyes, the woman proffered a hand. "Alice, Alice Corgan. I pop round every now and again to check on you."
It clicked. "Ah aye! Come in, come in. Lemme get ya a cuppa." Gerry turned and shuffled into the flat.
As Gerry set about his tiny kitchen, Alice called from the living room, "This is Mandy. She's a care worker too. She's going to pay you occasional visits if that's alright with you."
Gerry poked his head around the doorway. "I'll always welcome a beautiful young lady in ma home. Though, I've tae warn you I'm a married man, so no funny business." He winked and ducked back into the kitchen.
Alice turned to Mandy with a grin. "He's a good man, our Gerry. You'll get along just fine." She lowered her voice. "As I said, with the Alzheimer's, he has to be reminded to take his medication, but he's still mostly self-sufficient. We installed a medi-bot to remind him every day and dispense the pills. If he doesn't respond, we'll get a message to send someone over."
Mandy nodded and scribbled notes in a pad.
"When I'm gone, Michael will have somethin' to remember me by."
"Also, and this is something we've been working on for a few months now, Gerry is convinced he has something…" her voice trailed off. "He thinks he has cancer. Now, while the Alzheimer's may affect his day-to-day life, it's not at a stage where he needs to be taken into care. The last time we went for a checkup, the doctor couldn't find any sign of cancer. I think it stems from--"
Gerry shouted from the other room: "Does the young lady take sugar?"
"No, I'm fine thanks," Mandy called back.
"Of course you don't," smiled Gerry. "Young lady like yersel' is sweet enough."
*
The following week, Mandy arrived early at Gerry's. He looked unsure at first, but he invited her in.
Sitting on the sofa nurturing a cup of tea, Alice tried to keep things light. "So what do you do in your spare time, Gerry?"
"I've got nothing but spare time these days, even if it's running a little low."
"Do you have any hobbies?"
"Yes actually." Gerry smiled. "I'm makin' a computer program."
Alice was taken aback. She knew very little about computers herself. "What's the program for?" she asked.
"Well, despite ma appearance, I'm no spring chicken. I know I don't have much time left. Ma son, he lives down in Australia now, he worked on a computer program that uses AI - that's artificial intelligence - to imitate a person."
Alice still looked confused, so Gerry pressed on.
"Well, I know I've not long left, so I've been usin' this open source code to make ma own for when I'm gone. I've already written all the code. Now I just have to add the things that make it seem like me. I can upload audio, text, even videos of masel'. That way, when I'm gone, Michael will have somethin' to remember me by."
Mandy sat there, stunned. She had no idea anybody could do this, much less an octogenarian from his small, ramshackle flat in Glasgow.
"That's amazing Gerry. I'd love to see the real thing when you're done."
"O' course. I mean, it'll take time. There's so much to add, but I'll be happy to give a demonstration."
Mandy sat there and cradled her mug. Imagine, she thought, being able to preserve yourself, or at least some basic caricature of yourself, forever.
*
As the weeks went on, Gerry slowly added new shades to his coded double. Mandy would leaf through the dusty photo albums on Gerry's bookcase, pointing to photos and asking for the story behind each one. Gerry couldn't always remember but, when he could, the accompanying stories were often hilarious, incredible, and usually a little of both. As he vividly recounted tales of bombing missions over Burma, trips to the beach with a young Michael and, in one particularly interesting story, giving the finger to Margaret Thatcher, Mandy would diligently record them through a Dictaphone to be uploaded to the program.
Gerry loved the company, particularly when he could regale the young woman with tales of his son Michael. One day, as they sat on the sofa flicking through a box of trinkets from his days as a travelling salesman, Mandy asked why he didn't have a smartphone.
He shrugged. "If I'm out 'n about then I want to see the world, not some 2D version of it. Besides, there's nothin' on there for me."
Alice explained that you could get Skype on a smartphone: "You'd be able to talk with Michael and feed the geese at the park at the same time," she offered.
Gerry seemed interested but didn't mention it again.
"Only thing I'm worried about with ma computer," he remarked, "is if there's another power cut and I can't call Michael. There's been a few this year from the snow 'n I hate not bein' able to reach him."
"Well, if you ever want to use the Skype app on my phone to call him you're welcome," said Mandy. "After all, you just need to add him to my contacts."
Gerry was flattered. "That's a relief, knowing I won't miss out on calling Michael if the computer goes bust."
*
Then, in early spring, just as the first green buds burst forth from the bare branches, Gerry asked Mandy to come by. "Bring that Alice girl if ya can - I know she's excited to see this too."
The next day, Mandy and Alice dutifully filed into the cramped study and sat down on rickety wooden chairs brought from the living room for this special occasion.
An image of Gerry, somewhat younger than the man himself, flashed up on the screen.
With a dramatic throat clearing, Gerry opened the program on his computer. An image of Gerry, somewhat younger than the man himself, flashed up on the screen.
The room was silent.
"Hiya Michael!" AI Gerry blurted. The real Gerry looked flustered and clicked around the screen. "I forgot to put the facial recognition on. Michael's just the go-to name when it doesn't recognize a face." His voice lilted with anxious excitement. "This is Alice," Gerry said proudly to the camera, pointing at Alice, "and this is Mandy."
AI Gerry didn't take his eyes from real Gerry, but grinned. "Hello, Alice. Hiya Mandy." The voice was definitely his, even if the flow of speech was slightly disjointed.
"Hi," Alice and Mandy stuttered.
Gerry beamed at both of them. His eyes flitted between the girls and the screen, perhaps nervous that his digital counterpart wasn't as polished as they'd been expecting.
"You can ask him almost anything. He's not as advanced as the ones they're making in the big studios, but I think Michael will like him."
Alice and Mandy gathered closer to the monitor. A mute Gerry grinned back from the screen. Sitting in his wooden chair, the real Gerry turned to his AI twin and began chattering away: "So, what do you think o' the place? Not bad eh?"
"Oh aye, like what you've done wi' it," said AI Gerry.
"Gerry," Alice cut in. "What did you say about Michael there?"
"Ah, I made this for him. After all, it's the kind o' thing his studio was doin'. I had to clear some space to upload it 'n show you guys, so I had to remove Skype for now, but Michael won't mind. Anyway, Mandy's gonna let me Skype him from her phone."
Mandy pulled her phone out and smiled. "Aye, he'll be able to chat with two Gerry's."
Alice grabbed Mandy by the arm: "What did you tell him?" she whispered, her eyes wide.
"I told him he can use my phone if he wants to Skype Michael. Is that okay?"
Alice turned to Gerry, who was chattering away with his computerized clone. "Gerry, we'll just be one second, I need to discuss something with Mandy."
"Righto," he nodded.
Outside the room, Alice paced up and down the narrow hallway.
Mandy could see how flustered she was. "What's wrong? Don't you like the chatbot? I think it's kinda c-"
"Michael's dead," Alice spluttered.
"What do you mean? He talks to him all the time."
Alice sighed. "He doesn't talk to Michael. See, a few years back, Michael found out he had cancer. He worked for this company that did AI chatbot stuff. When he knew he was dying he--" she groped in the air for the words-- "he built this chatbot thing for Gerry, some kind of super-advanced AI. Gerry had just been diagnosed with Alzheimer's and I guess Michael was worried Gerry would forget him. He designed the chatbot to say he was in Australia to explain why he couldn't visit."
"That's awful," Mandy granted, "but I don't get what the problem is. I mean, surely he can show the AI Michael his own chatbot?"
"No, because you can't get the AI Michael on Skype. Michael just designed the program to look like Skype."
"But then--" Mandy went silent.
"Michael uploaded the entire AI to Gerry's computer before his death. Gerry didn't delete Skype. He deleted the AI Michael."
"So… that's it? He-he's gone?" Mandy's voice cracked. "He can't just be gone, surely he can't?"
The women stood staring at each other. They looked to the door of the study. They could still hear Gerry, gabbing away with his cybercopy.
"I can't go back in there," muttered Mandy. Her voice wavered as she tried to stem the misery rising in her throat.
Alice shook her head and paced the floor. She stopped and stared at Mandy with grim resignation. "We don't have a choice."
When they returned, Gerry was still happily chatting away.
"Hiya girls. Ya wanna ask my handsome twin any other questions? If not, we could get Michael on the phone?"
Neither woman spoke. Gerry clapped his hands and turned gaily to the monitor again: "I cannae wait for ya t'meet him, Gerry. He's gonna be impressed wi' you."
Alice clasped her hands to her mouth. Tears welled in the women's eyes as they watched the old man converse with his digital copy. The heat of the room seemed to swell, becoming insufferable. Mandy couldn't take it anymore. She jumped up, bolted to the door and collapsed against a wall in the hallway. Alice perched on the edge of her seat in a dumb daze, praying for the floor to open and swallow the contents of the room whole.
Oblivious, Gerry and his echo babbled away, the blue glow of the screen illuminating his euphoric face. "Just wait until y'meet him Gerry, just wait."
The Death Predictor: A Helpful New Tool or an Ethical Morass?
Whenever Eric Karl Oermann has to tell a patient about a terrible prognosis, their first question is always: "how long do I have?" Oermann would like to offer a precise answer, to provide some certainty and help guide treatment. But although he's one of the country's foremost experts in medical artificial intelligence, Oermann is still dependent on a computer algorithm that's often wrong.
Doctors are notoriously terrible at guessing how long their patients will live.
Artificial intelligence, now often called deep learning or neural networks, has radically transformed language and image processing. It's allowed computers to play chess better than the world's grand masters and outwit the best Jeopardy players. But it still can't precisely tell a doctor how long a patient has left – or how to help that person live longer.
Someday, researchers predict, computers will be able to watch a video of a patient to determine their health status. Doctors will no longer have to spend hours inputting data into medical records. And computers will do a better job than specialists at identifying tiny tumors, impending crises, and, yes, figuring out how long the patient has to live. Oermann, a neurosurgeon at Mount Sinai, says all that technology will allow doctors to spend more time doing what they do best: talking with their patients. "I want to see more deep learning and computers in a clinical setting," he says, "so there can be more human interaction." But those days are still at least three to five years off, Oermann and other researchers say.
Doctors are notoriously terrible at guessing how long their patients will live, says Nigam Shah, an associate professor at Stanford University and assistant director of the school's Center for Biomedical Informatics Research. Doctors don't want to believe that their patient – whom they've come to like – will die. "Doctors over-estimate survival many-fold," Shah says. "How do you go into work, in say, oncology, and not be delusionally optimistic? You have to be."
But patients near the end of life will get better treatment – and even live longer – if they are overseen by hospice or palliative care, research shows. So, instead of relying on human bias to select those whose lives are nearing their end, Shah and his colleagues showed that they could use a deep learning algorithm based on medical records to flag incoming patients with a life expectancy of three months to a year. They use that data to indicate who might need palliative care. Then, the palliative care team can reach out to treating physicians proactively, instead of relying on their referrals or taking the time to read extensive medical charts.
But, although the system works well, Shah isn't yet sure if such indicators actually get the appropriate patients into palliative care. He's recently partnered with a palliative care doctor to run a gold-standard clinical trial to test whether patients who are flagged by this algorithm are indeed a better match for palliative care.
"What is effective from a health system perspective might not be effective from a treating physician's perspective and might not be effective from the patient's perspective," Shah notes. "I don't have a good way to guess everybody's reaction without actually studying it." Whether palliative care is appropriate, for instance, depends on more than just the patient's health status. "If the patient's not ready, the family's not ready and the doctor's not ready, then you're just banging your head against the wall," Shah says. "Given limited capacity, it's a waste of resources" to put that person in palliative care.
The algorithm isn't perfect, but "on balance, it leads to better decisions more often."
Alexander Smith and Sei Lee, both palliative care doctors, work together at the University of California, San Francisco, to develop predictions for patients who come to the hospital with a complicated prognosis or a history of decline. Their algorithm, they say, helps decide if this patient's problems – which might include diabetes, heart disease, a slow-growing cancer, and memory issues – make them eligible for hospice. The algorithm isn't perfect, they both agree, but "on balance, it leads to better decisions more often," Smith says.
Bethany Percha, an assistant professor at Mount Sinai, says that an algorithm may tell doctors that their patient is trending downward, but it doesn't do anything to change that trajectory. "Even if you can predict something, what can you do about it?" Algorithms may be able to offer treatment suggestions – but not what specific actions will alter a patient's future, says Percha, also the chief technology officer of Precise Health Enterprise, a product development group within Mount Sinai. And the algorithms remain challenging to develop. Electronic medical records may be great at her hospital, but if the patient dies at a different one, her system won't know. If she wants to be certain a patient has died, she has to merge social security records of death with her system's medical records – a time-consuming and cumbersome process.
An algorithm that learns from biased data will be biased, Shah says. Patients who are poor or African American historically have had worse health outcomes. If researchers train an algorithm on data that includes those biases, they get baked into the algorithms, which can then lead to a self-fulfilling prophesy. Smith and Lee say they've taken race out of their algorithms to avoid this bias.
Age is even trickier. There's no question that someone's risk of illness and death goes up with age. But an 85-year-old who breaks a hip running a marathon should probably be treated very differently than an 85-year-old who breaks a hip trying to get out of a chair in a dementia care unit. That's why the doctor can never be taken out of the equation, Shah says. Human judgment will always be required in medical care and an algorithm should never be followed blindly, he says.
Experts say that the flaws in artificial intelligence algorithms shouldn't prevent people from using them – carefully.
Researchers are also concerned that their algorithms will be used to ration care, or that insurance companies will use their data to justify a rate increase. If an algorithm predicts a patient is going to end up back in the hospital soon, "who's benefitting from knowing a patient is going to be readmitted? Probably the insurance company," Percha says.
Still, Percha and others say, the flaws in artificial intelligence algorithms shouldn't prevent people from using them – carefully. "These are new and exciting tools that have a lot of potential uses. We need to be conscious about how to use them going forward, but it doesn't mean we shouldn't go down this road," she says. "I think the potential benefits outweigh the risks, especially because we've barely scratched the surface of what big data can do right now."
“Young Blood” Transfusions Are Not Ready For Primetime – Yet
The world of dementia research erupted into cheers when news of the first real victory in a clinical trial against Alzheimer's Disease in over a decade was revealed last October.
By connecting the circulatory systems of a young and an old mouse, the regenerative potential of the young mouse decreased, and the old mouse became healthier.
Alzheimer's treatments have been famously difficult to develop; 99 percent of the 200-plus such clinical trials since 2000 have utterly failed. Even the few slight successes have failed to produce what is called 'disease modifying' agents that really help people with the disease. This makes the success, by the midsize Spanish pharma company Grifols, worthy of special attention.
However, the specifics of the Grifols treatment, a process called plasmapheresis, are atypical for another reason - they did not give patients a small molecule or an elaborate gene therapy, but rather simply the most common component of normal human blood plasma, a protein called albumin. A large portion of the patients' normal plasma was removed, and then a sterile solution of albumin was infused back into them to keep their overall blood volume relatively constant.
So why does replacing Alzheimer's patients' plasma with albumin seem to help their brains? One theory is that the action is direct. Alzheimer's patients have low levels of serum albumin, which is needed to clear out the plaques of amyloid that slowly build up in the brain. Supplementing those patients with extra albumin boosts their ability to clear the plaques and improves brain health. However, there is also evidence suggesting that the problem may be something present in the plasma of the sick person and pulling their plasma out and replacing it with a filler, like an albumin solution, may be what creates the purported benefit.
This scientific question is the tip of an iceberg that goes far beyond Alzheimer's Disease and albumin, to a debate that has been waged on the pages of scientific journals about the secrets of using young, healthy blood to extend youth and health.
This debate started long before the Grifols data was released, in 2014 when a group of researchers at Stanford found that by connecting the circulatory systems of a young and an old mouse, the regenerative potential of the young mouse decreased, and the old mouse became healthier. There was something either present in young blood that allowed tissues to regenerate, or something present in old blood that prevented regeneration. Whatever the biological reason, the effects in the experiment were extraordinary, providing a startling boost in health in the older mouse.
After the initial findings, multiple research groups got to work trying to identify the "active factor" of regeneration (or the inhibitor of that regeneration). They soon uncovered a variety of compounds such as insulin-like growth factor 1 (IGF1), CCL11, and GDF11, but none seemed to provide all the answers researchers were hoping for, with a number of high-profile retractions based on unsound experimental practices, or inconclusive data.
Years of research later, the simplest conclusion is that the story of plasma regeneration is not simple - there isn't a switch in our blood we can flip to turn back our biological clocks. That said, these hypotheses are far from dead, and many researchers continue to explore the possibility of using the rejuvenating ability of youthful plasma to treat a variety of diseases of aging.
But the bold claims of improved vigor thanks to young blood are so far unsupported by clinical evidence.
The data remain intriguing because of the astounding results from the conjoined circulatory system experiments. The current surge in interest in studying the biology of aging is likely to produce a new crop of interesting results in the next few years. Both CCL11 and GDF11 are being researched as potential drug targets by two startups, Alkahest and Elevian, respectively.
Without clarity on a single active factor driving rejuvenation, it's tempting to try a simpler approach: taking actual blood plasma provided by young people and infusing it into elderly subjects. This is what at least one startup company, Ambrosia, is now offering in five commercial clinics across the U.S. -- for $8,000 a liter.
By using whole plasma, the idea is to sidestep our ignorance, reaping the benefits of young plasma transfusion without knowing exactly what the active factors are that make the treatment work in mice. This space has attracted both established players in the plasmapheresis field – Alkahest and Grifols have teamed up to test fractions of whole plasma in Alzheimer's and Parkinson's – but also direct-to-consumer operations like Ambrosia that just want to offer patients access to treatments without regulatory oversight.
But the bold claims of improved vigor thanks to young blood are so far unsupported by clinical evidence. We simply haven't performed trials to test whether dosing a mostly healthy person with plasma can slow down aging, at least not yet. There is some evidence that plasma replacement works in mice, yes, but those experiments are all done in very different systems than what a human receiving young plasma might experience. To date, I have not seen any plasma transfusion clinic doing young blood plasmapheresis propose a clinical trial that is anything more than a shallow advertisement for their procedures.
The efforts I have seen to perform prophylactic plasmapheresis will fail to impact societal health. Without clearly defined endpoints and proper clinical trials, we won't know whether the procedure really lowers the risk of disease or helps with conditions of aging. So even if their hypothesis is correct, the lack of strong evidence to fall back on means that the procedure will never spread beyond the fringe groups willing to take the risk. If their hypothesis is wrong, then people are paying a huge amount of money for false hope, just as they do, sadly, at the phony stem cell clinics that started popping up all through the 2000s when stem cell hype was at its peak.
Until then, prophylactic plasma transfusions will be the domain of the optimistic and the gullible.
The real progress in the field will be made slowly, using carefully defined products either directly isolated from blood or targeting a bloodborne factor, just as the serious pharma and biotech players are doing already.
The field will progress in stages, first creating and carefully testing treatments for well-defined diseases, and only then will it progress to large-scale clinical trials in relatively healthy people to look for the prevention of disease. Most of us will choose to wait for this second stage of trials before undergoing any new treatments. Until then, prophylactic plasma transfusions will be the domain of the optimistic and the gullible.